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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. 14394
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    Explanations

    references to dough and related food preparation steps

    oai_token-act-pair · gpt-3.5-turbo

    mentions of dough and yeast in the context of cooking or baking

    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
    nesota
    -0.87
    eve
    -0.86
    76561
    -0.84
    audi
    -0.70
    ãĥ´
    -0.68
     Scotia
    -0.66
    NetMessage
    -0.66
     partName
    -0.66
     Rousse
    -0.65
    ENC
    -0.65
    POSITIVE LOGITS
    nut
    1.80
    nuts
    1.73
    boys
    1.14
     dough
    0.99
    wallet
    0.97
    awan
    0.95
    worms
    0.95
     Dough
    0.90
    bean
    0.88
    riter
    0.85
    Activations Density 0.012%

    No Known Activations