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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. 3-RES-JB
    11. 20274
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    Explanations

    normally distribution values or statistical numbers

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    faced
    -0.74
    lying
    -0.73
    gets
    -0.72
    journal
    -0.71
    printed
    -0.68
    undai
    -0.66
    mes
    -0.66
    tons
    -0.65
    arted
    -0.64
    uden
    -0.64
    POSITIVE LOGITS
    80
    0.93
     ILCS
    0.84
    IRC
    0.83
    803
    0.79
     cents
    0.79
    70
    0.79
    %:
    0.77
    ¯¯¯¯
    0.75
    50
    0.74
    ASC
    0.73
    Activations Density 0.033%

    No Known Activations