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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. 9-RES-JB
    11. 15735
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    Explanations

    ingredients and instructions related to baking

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with baking

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ial
    -0.95
    iveness
    -0.94
    iam
    -0.78
     Investigative
    -0.77
     Fenrir
    -0.73
    itism
    -0.69
    ku
    -0.68
    igious
    -0.68
    uations
    -0.68
    Streamer
    -0.67
    POSITIVE LOGITS
     soda
    0.96
     Bake
    0.94
    lite
    0.93
     bake
    0.91
     oven
    0.91
     bread
    0.90
     baked
    0.81
     potato
    0.81
     cookies
    0.80
     baking
    0.80
    Activations Density 0.050%

    No Known Activations