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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. 10082
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    Explanations

    people's names with French or French-sounding origins

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals or entities mentioned in the text

    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
    é¾įå¥ij士
    -0.83
    awar
    -0.79
     unlucky
    -0.70
    ulhu
    -0.70
    acca
    -0.70
    awei
    -0.69
    ambers
    -0.67
    milo
    -0.65
    utils
    -0.65
     Uzbek
    -0.62
    POSITIVE LOGITS
    xual
    0.93
    abeth
    0.91
    nee
    0.90
    ette
    0.90
    ne
    0.86
    issance
    0.85
    naire
    0.84
    alties
    0.84
    ality
    0.81
    ettes
    0.81
    Activations Density 0.024%

    No Known Activations