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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. 9-RES-JB
    11. 3043
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    Explanations

    words related to the act of cooking

    oai_token-act-pair · gpt-3.5-turbo

    terms related to cooking

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    orporated
    -0.85
    idas
    -0.84
    venants
    -0.80
    ertodd
    -0.72
    fax
    -0.64
    umbn
    -0.64
     IOC
    -0.63
     guiActiveUn
    -0.62
     Sigma
    -0.62
     Esports
    -0.61
    POSITIVE LOGITS
     stove
    0.91
     meals
    0.91
    stall
    0.88
    books
    0.86
     rice
    0.85
     cooks
    0.85
     vegetables
    0.85
     supper
    0.85
     dinner
    0.84
     dinners
    0.83
    Activations Density 0.044%

    No Known Activations