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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. 7161
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    Explanations

    HTML-related tokens with special characters and formatting

    oai_token-act-pair · gpt-3.5-turbo

    percentages and numerical data representations

    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
     Mellon
    -0.72
     exerc
    -0.70
     disse
    -0.66
     perspect
    -0.64
    ipples
    -0.63
     Nau
    -0.63
     subpoen
    -0.62
     appet
    -0.61
     Rav
    -0.60
     kne
    -0.60
    POSITIVE LOGITS
    reet
    1.03
    loop
    0.98
    %%%%
    0.97
    chat
    0.87
    chance
    0.83
    rax
    0.80
    urion
    0.80
    endif
    0.79
    AppData
    0.79
    ennial
    0.76
    Activations Density 0.026%

    No Known Activations