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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. 0-RES-JB
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    Explanations

    mentions of various types of pasta

    oai_token-act-pair · gpt-3.5-turbo

    food-related terms, particularly those associated with noodles and pasta

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Peer
    -0.87
    Vol
    -0.80
     Barrett
    -0.79
     Vol
    -0.79
    Lyn
    -0.78
     Hear
    -0.78
     Enforcement
    -0.77
    CB
    -0.74
    Ul
    -0.74
    Whit
    -0.73
    POSITIVE LOGITS
     noodles
    3.18
     pasta
    3.04
     spaghetti
    2.36
     pancakes
    2.23
     nood
    2.17
     spinach
    2.12
     tofu
    2.11
     broccoli
    2.01
     shrimp
    1.90
     tacos
    1.87
    Activations Density 0.055%

    No Known Activations