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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
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    Explanations

    mentions of the name "Hart"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Hart."

    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
    Not in Any Lists

    No Comments

    Negative Logits
     srf
    -1.00
    ntil
    -0.93
    ournal
    -0.78
    terday
    -0.74
    obbies
    -0.74
    jriwal
    -0.73
    aucas
    -0.71
     currency
    -0.68
     eleph
    -0.68
    ccording
    -0.67
    POSITIVE LOGITS
     Hart
    1.18
    mut
    1.11
    Hart
    1.07
    enstein
    1.04
    mann
    1.03
    wig
    0.99
    lett
    0.97
    lich
    0.92
    nell
    0.91
    wick
    0.91
    Activations Density 0.009%

    No Known Activations