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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. 8-RES-JB
    11. 9001
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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 @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    âĦ¢
    -0.71
    glomer
    -0.70
     Gazette
    -0.70
     Role
    -0.64
    cium
    -0.63
     Observatory
    -0.63
    iphate
    -0.63
    ramid
    -0.61
     Tribunal
    -0.60
     Caucus
    -0.60
    POSITIVE LOGITS
    goers
    0.81
     makers
    0.78
    wise
    0.78
     proportions
    0.76
     wise
    0.75
    worms
    0.72
    atown
    0.71
    ãĥ´
    0.69
    kind
    0.67
    mania
    0.67
    Activations Density 0.664%

    No Known Activations