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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. 11-RES-JB
    11. 1268
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    Explanations

    phrases related to cooking instructions

    oai_token-act-pair · gpt-3.5-turbo

    cooking instructions and methods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    velt
    -0.76
     souven
    -0.73
     postage
    -0.71
     mailed
    -0.69
     tattoos
    -0.68
    abase
    -0.68
    agles
    -0.67
     museums
    -0.67
     Adidas
    -0.67
     tailored
    -0.66
    POSITIVE LOGITS
     simmer
    1.30
     fry
    1.29
     cook
    1.18
     stirring
    1.13
     stir
    1.08
     frying
    1.04
     boil
    1.04
     burner
    0.99
     skillet
    0.97
     cooking
    0.94
    Activations Density 0.073%

    No Known Activations