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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. 104
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    Explanations

    proper nouns and names

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names and titles

    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
    Not in Any Lists

    No Comments

    Negative Logits
    éĹĺ
    -0.77
    perature
    -0.74
    ACTED
    -0.72
    advertisement
    -0.69
    achusetts
    -0.66
    ICE
    -0.64
    ocrats
    -0.63
     Freddie
    -0.62
     Marketable
    -0.61
     persistent
    -0.61
    POSITIVE LOGITS
    istani
    1.08
    assic
    0.96
     Kur
    0.93
    geon
    0.93
    rier
    0.91
    ernel
    0.89
    vik
    0.88
    thur
    0.88
    ihara
    0.86
    adal
    0.86
    Activations Density 0.005%

    No Known Activations