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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. 6038
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    Explanations

    mentions of pizza

    oai_token-act-pair · gpt-3.5-turbo

    references to pizza

    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
    draw
    -0.80
    Thom
    -0.79
    track
    -0.76
    drawn
    -0.74
    hips
    -0.73
    Applications
    -0.71
    say
    -0.71
    Detailed
    -0.70
    nen
    -0.70
    Track
    -0.70
    POSITIVE LOGITS
     dough
    1.13
     pies
    1.07
     oven
    1.07
     pizza
    1.06
    izza
    1.03
    ocalypse
    1.00
     crust
    0.96
     Pizza
    0.94
    artisan
    0.91
     pie
    0.90
    Activations Density 0.009%

    No Known Activations