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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. 6420
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    Explanations

    foods that are fried

    oai_token-act-pair · gpt-3.5-turbo

    references to fried food

    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
    QB
    -0.81
    Church
    -0.74
    xus
    -0.68
    agall
    -0.66
    peria
    -0.66
    henko
    -0.66
    女
    -0.65
    Org
    -0.65
    patient
    -0.62
     Percy
    -0.62
    POSITIVE LOGITS
     fried
    1.22
     frying
    1.15
     fry
    1.11
     cakes
    1.06
     dough
    1.01
     pans
    0.98
     tofu
    0.94
     sauces
    0.93
     bread
    0.92
     noodles
    0.90
    Activations Density 0.009%

    No Known Activations