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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. 12965
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    Explanations

    proper nouns related to individuals

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals and their significance in various contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    elaide
    -0.88
    antine
    -0.84
    aganda
    -0.81
    oses
    -0.78
    levard
    -0.77
    pty
    -0.75
    ombie
    -0.71
    olis
    -0.71
    ongyang
    -0.69
    wana
    -0.68
    POSITIVE LOGITS
     rave
    0.72
     bead
    0.60
     Carbuncle
    0.58
    stration
    0.58
    lasses
    0.58
     scratched
    0.57
     installer
    0.57
     SEAL
    0.57
     giveaway
    0.57
    Dial
    0.57
    Activations Density 0.084%

    No Known Activations