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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. 5613
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    Explanations

    mentions or references to banks

    oai_token-act-pair · gpt-3.5-turbo

    references to banking institutions

    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
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    No Comments

    Negative Logits
     Horton
    -0.78
    Rust
    -0.75
     Loving
    -0.74
     Whedon
    -0.70
    ————————————————
    -0.69
    witz
    -0.65
     Hawth
    -0.63
     Flavoring
    -0.63
    MAL
    -0.62
     Ging
    -0.61
    POSITIVE LOGITS
    rupt
    0.98
    notes
    0.97
    roll
    0.93
    sters
    0.91
    rolled
    0.91
    banks
    0.88
     banking
    0.85
     robber
    0.83
     bank
    0.83
    rarily
    0.83
    Activations Density 0.017%

    No Known Activations