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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. 8-RES-JB
    11. 23849
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, particularly periods and brackets

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     volunte
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     unin
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     manufact
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     simulate
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     nearest
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     maxim
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     intensive
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     linger
    -0.64
     factories
    -0.63
     stalls
    -0.62
    POSITIVE LOGITS
    ...]
    1.17
    note
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    Pg
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    âĢ¦]
    1.11
     citation
    1.02
    Footnote
    1.00
    1
    0.98
    edit
    0.94
    src
    0.94
    9
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    Activations Density 0.034%

    No Known Activations