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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. 7-RES-JB
    11. 21765
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    INDEX
    Explanations

    numerical values in a specific range

    oai_token-act-pair · gpt-3.5-turbo

    percentage values, particularly those at or near 95% confidence levels

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sworth
    -0.81
    holders
    -0.80
    seeing
    -0.76
    holder
    -0.75
    eworld
    -0.73
    gets
    -0.72
    untu
    -0.70
    hold
    -0.69
    roma
    -0.68
    dress
    -0.67
    POSITIVE LOGITS
    %:
    0.96
    999
    0.86
    808
    0.81
    ãĥ³ãĤ¸
    0.81
     mph
    0.78
     kHz
    0.77
    ãĥĩãĤ£
    0.76
    804
    0.76
    urious
    0.75
    80
    0.73
    Activations Density 0.044%

    No Known Activations