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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. 10-RES-JB
    11. 24493
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    Explanations

    phrases related to illumination or brightness

    oai_token-act-pair · gpt-3.5-turbo

    references to lights and illumination

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Mellon
    -0.89
    ilage
    -0.81
     Gut
    -0.80
    ibia
    -0.79
    abase
    -0.77
     TJ
    -0.73
    Asset
    -0.73
     Slaughter
    -0.72
     Ank
    -0.72
     Strauss
    -0.71
    POSITIVE LOGITS
     lamps
    1.80
     lantern
    1.75
     flickering
    1.72
     brighter
    1.68
     candles
    1.67
     glow
    1.63
     LED
    1.62
     brightness
    1.62
     lights
    1.60
     candle
    1.60
    Activations Density 0.411%

    No Known Activations