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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. 2-RES-JB
    11. 5841
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    Explanations

    words related to food preparation and recipes

    oai_token-act-pair · gpt-3.5-turbo

    instructions and steps related to cooking or food preparation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    href
    -0.76
     Gund
    -0.73
    ¥µ
    -0.71
    dfx
    -0.68
    represented
    -0.67
     Geh
    -0.67
    Corp
    -0.67
    park
    -0.66
    andowski
    -0.66
    ticket
    -0.65
    POSITIVE LOGITS
     ingredients
    1.16
     mixture
    1.13
     Ingredients
    1.12
    Ingredients
    1.08
    redients
    0.97
     rinse
    0.97
     veggies
    0.96
     tablespoon
    0.96
     teaspoon
    0.96
     creamy
    0.95
    Activations Density 0.415%

    No Known Activations