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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. 9-RES-JB
    11. 5579
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Fit
    -0.77
    idth
    -0.70
    rics
    -0.65
    rouse
    -0.61
     glim
    -0.58
    ses
    -0.55
     Rhythm
    -0.55
    Points
    -0.55
    PRES
    -0.55
    rients
    -0.54
    POSITIVE LOGITS
     indefinitely
    1.02
     abruptly
    1.00
     altogether
    0.96
     unanimously
    0.93
     administr
    0.91
     entirely
    0.89
     by
    0.89
     pending
    0.88
     prematurely
    0.83
    uled
    0.83
    Activations Density 0.188%

    No Known Activations