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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. 6-RES-JB
    11. 16981
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    Explanations

    proper nouns, specifically names like "Nelson Mandela."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Nelson."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    fare
    -0.97
    ãĤ¼
    -0.75
    orical
    -0.74
    place
    -0.72
    ¿
    -0.70
    ¾
    -0.70
    orically
    -0.70
    payers
    -0.69
    orate
    -0.69
    mble
    -0.66
    POSITIVE LOGITS
     Mandela
    1.58
     Nelson
    0.92
    sey
    0.88
    otine
    0.86
    illo
    0.79
     Rockefeller
    0.79
     Sau
    0.72
    elson
    0.71
    shire
    0.71
    ulla
    0.67
    Activations Density 0.020%

    No Known Activations