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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
    11. 2771
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    Explanations

    phrases related to cooking techniques with a focus on boiling and simmering

    oai_token-act-pair · gpt-3.5-turbo

    terminology related to cooking processes, particularly boiling and simmering

    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
    eryl
    -0.69
    Gab
    -0.66
    Space
    -0.65
    Journal
    -0.64
    ted
    -0.64
    ater
    -0.63
    Cor
    -0.63
     Mer
    -0.62
    esc
    -0.61
     Garland
    -0.61
    POSITIVE LOGITS
     boil
    4.04
     boils
    2.00
     boiled
    1.62
     simmer
    1.62
     boiling
    1.48
     boiler
    1.39
     cooker
    1.26
     cook
    1.24
     stove
    1.17
     ferment
    1.14
    Activations Density 0.009%

    No Known Activations