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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. 11-RES-JB
    11. 14509
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    Explanations

    words related to trade and transactions

    oai_token-act-pair · gpt-3.5-turbo

    references to trade and industry

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Dare
    -0.69
    aries
    -0.63
    usha
    -0.62
    edly
    -0.60
    TPPStreamerBot
    -0.59
    vae
    -0.58
    ¯¯
    -0.56
     Boll
    -0.55
    ividual
    -0.55
    Nine
    -0.53
    POSITIVE LOGITS
    offs
    1.29
     paperback
    1.05
    craft
    1.05
    off
    0.96
     secrets
    0.91
    union
    0.91
    marks
    0.85
     unions
    0.84
    bucks
    0.83
    mark
    0.82
    Activations Density 0.029%

    No Known Activations