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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. 3-RES-JB
    11. 3884
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    INDEX
    Explanations

    ingredients and measurements commonly found in recipes

    oai_token-act-pair · gpt-3.5-turbo

    quantities and measures used in cooking or recipes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oust
    -0.84
    gnu
    -0.74
    ptroller
    -0.74
    idable
    -0.74
    bred
    -0.74
    abal
    -0.73
    scape
    -0.73
    ctor
    -0.72
    igent
    -0.72
    gotten
    -0.71
    POSITIVE LOGITS
    poons
    1.26
     tablespoons
    0.99
    cakes
    0.98
     servings
    0.95
     teaspoons
    0.93
     cups
    0.91
    poon
    0.91
    cake
    0.87
     tablespoon
    0.86
     teaspoon
    0.81
    Activations Density 0.017%

    No Known Activations