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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. 12714
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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
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    Negative Logits
    isma
    -0.77
     explan
    -0.77
     pse
    -0.73
     welf
    -0.69
    enth
    -0.69
    ministic
    -0.68
     assum
    -0.68
    itone
    -0.67
    jri
    -0.67
    oriented
    -0.67
    POSITIVE LOGITS
     Miscellaneous
    1.05
     Scenes
    1.03
     Photos
    1.02
     Thousands
    0.99
     Timeline
    0.98
     Unable
    0.95
     Faces
    0.93
     Close
    0.93
     Explosion
    0.92
     Protesters
    0.90
    Activations Density 0.052%

    No Known Activations