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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
    11. 7998
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    Explanations

    ways in which something is done or the manner in which things are accomplished

    oai_token-act-pair · gpt-3.5-turbo

    phrases that describe methods or approaches

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    avorite
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    oppable
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    ua
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    inately
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    ibrary
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    umbn
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    usters
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    fif
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    inently
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    ufact
    -0.62
    POSITIVE LOGITS
     shape
    0.90
    NE
    0.66
     imaginable
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    finding
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     resembling
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     that
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    ÙĨ
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    fare
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     reminiscent
    0.64
    Shape
    0.64
    Activations Density 0.039%

    No Known Activations