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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. 7-RES-JB
    11. 309
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    Explanations

    brand names with trademarks

    oai_token-act-pair · gpt-3.5-turbo

    the letter 's' in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    docker
    -0.68
    epad
    -0.67
    alien
    -0.67
    dress
    -0.65
    ocent
    -0.63
    skirts
    -0.63
    ertodd
    -0.61
    yk
    -0.61
    ozy
    -0.61
    eur
    -0.61
    POSITIVE LOGITS
     newest
    0.96
     own
    0.95
     successor
    0.93
    ELF
    0.93
     predecessor
    0.88
     flagship
    0.87
     insistence
    0.80
     oldest
    0.79
    ullivan
    0.78
     mascot
    0.77
    Activations Density 0.174%

    No Known Activations