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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. 24256
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    INDEX
    Explanations

    mentions of something that has a large or significant impact

    oai_token-act-pair · gpt-3.5-turbo

    expressions of significant appreciation or enhancement

    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
    esome
    -0.73
     Tags
    -0.72
    smoking
    -0.69
    arian
    -0.69
     Borders
    -0.69
    arians
    -0.68
    yne
    -0.68
    onomy
    -0.66
     Notting
    -0.65
    ioch
    -0.65
    POSITIVE LOGITS
     benefited
    1.02
     appreciated
    0.95
     appreci
    0.90
     benef
    0.82
    bled
    0.80
     appre
    0.79
     influenced
    0.78
     greatly
    0.78
     benefiting
    0.77
     effected
    0.76
    Activations Density 0.012%

    No Known Activations