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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. 10-RES-JB
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    Explanations

    measurements and quantities of substances

    oai_token-act-pair · gpt-3.5-turbo

    quantities and measurements related to substances in both solid and liquid forms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    estate
    -0.73
    exit
    -0.68
     architecture
    -0.65
     Doodle
    -0.65
    Ü
    -0.63
     priorities
    -0.63
    eering
    -0.63
    idth
    -0.63
     architectures
    -0.62
    attribute
    -0.62
    POSITIVE LOGITS
     apiece
    1.08
     increments
    0.97
     bottles
    0.93
    poons
    0.90
     doses
    0.89
     ABV
    0.87
     servings
    0.87
     ounces
    0.86
     per
    0.86
    oz
    0.85
    Activations Density 0.070%

    No Known Activations