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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. 4-RES-JB
    11. 20163
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    Explanations

    food items related to frying

    oai_token-act-pair · gpt-3.5-turbo

    mentions of fried foods

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

    No Comments

    Negative Logits
    xus
    -0.83
    QB
    -0.75
    Church
    -0.72
    76561
    -0.69
    Org
    -0.68
    henko
    -0.66
    女
    -0.66
     Licensed
    -0.65
    venants
    -0.64
    agall
    -0.64
    POSITIVE LOGITS
     fried
    1.16
     dough
    1.05
     fry
    1.03
     tofu
    0.97
     frying
    0.97
     cakes
    0.96
     rice
    0.95
     pans
    0.94
     chicken
    0.91
     bread
    0.90
    Activations Density 0.013%

    No Known Activations