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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. 11158
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    Explanations

    characters or words in a different script or language

    oai_token-act-pair · gpt-3.5-turbo

    unusual or complex characters and symbols

    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
    terson
    -0.82
    auga
    -0.70
    keye
    -0.69
    rium
    -0.67
    rican
    -0.65
    SU
    -0.64
     Speedway
    -0.63
    ultz
    -0.61
     Dunham
    -0.60
    rylic
    -0.59
    POSITIVE LOGITS
    xual
    1.04
    ussia
    0.92
    phrine
    0.88
    cliffe
    0.87
    hin
    0.80
    interstitial
    0.79
    hak
    0.79
    ional
    0.78
    naire
    0.78
    agnar
    0.77
    Activations Density 0.095%

    No Known Activations