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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. 1731
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    Explanations

    ingredients and quantities in a recipe

    oai_token-act-pair · gpt-3.5-turbo

    ingredients and quantities related to cooking recipes

    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
    Not in Any Lists

    No Comments

    Negative Logits
     WATCHED
    -0.67
    ',"
    -0.65
    .""
    -0.63
    ¥µ
    -0.61
    '."
    -0.61
     fences
    -0.61
    dq
    -0.60
    eatures
    -0.60
     experien
    -0.60
     frivolous
    -0.58
    POSITIVE LOGITS
     Instructions
    1.00
     Directions
    0.98
    poons
    0.86
     +
    0.84
     ½
    0.82
    ↵Âł
    0.81
    ↵
    0.79
     preferably
    0.78
    Ingredients
    0.77
     Optional
    0.76
    Activations Density 0.110%

    No Known Activations