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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. 1-RES-JB
    11. 18734
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    Explanations

    specific and detailed information or descriptions

    oai_token-act-pair · gpt-3.5-turbo

    references to specific details in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Jindal
    -0.63
    Louis
    -0.62
     Baton
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    ces
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    Ton
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    isd
    -0.60
     impulse
    -0.60
    sw
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     Sabha
    -0.59
     Yellow
    -0.59
    POSITIVE LOGITS
     details
    1.38
    details
    1.19
     detail
    1.08
     Details
    1.07
     particulars
    1.07
     specifics
    1.04
    Details
    0.94
    afety
    0.93
    etter
    0.88
    information
    0.85
    Activations Density 0.017%

    No Known Activations