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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. 11-RES-JB
    11. 21840
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    Explanations

    descriptions related to lighting and brightness

    oai_token-act-pair · gpt-3.5-turbo

    descriptive language related to festive lighting and visual effects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Savage
    -0.91
     Mellon
    -0.79
     Slaughter
    -0.78
    ilage
    -0.77
    geon
    -0.77
     Gut
    -0.76
    Sullivan
    -0.75
    Jake
    -0.75
     Strauss
    -0.74
     Spiel
    -0.72
    POSITIVE LOGITS
     lamps
    2.03
     LEDs
    1.97
     LED
    1.90
     bulbs
    1.89
    LED
    1.83
     lights
    1.75
     illumination
    1.74
     flickering
    1.74
     lighting
    1.73
     lantern
    1.73
    Activations Density 0.351%

    No Known Activations