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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. 4-RES-JB
    11. 19403
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    Explanations

    proper nouns, specifically names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper names and specific identifiers related to individuals and entities

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

    Negative Logits
    éĹĺ
    -0.73
    ACTED
    -0.73
    ocrats
    -0.70
    perature
    -0.70
    advertisement
    -0.67
    xual
    -0.65
     diaper
    -0.65
    ICE
    -0.64
    achusetts
    -0.63
     Freddie
    -0.63
    POSITIVE LOGITS
    istani
    1.05
    assic
    0.93
     Kur
    0.93
    ernel
    0.92
    thur
    0.90
    ihara
    0.86
    imoto
    0.86
    adal
    0.86
    vik
    0.85
    ategory
    0.83
    Activations Density 0.008%

    No Known Activations