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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. 0-RES-JB
    11. 18178
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    Explanations

    references to different types of hair

    oai_token-act-pair · gpt-3.5-turbo

    references to hair structures in animals, specifically polar bears

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    iannopoulos
    -0.81
    ierre
    -0.80
    TextColor
    -0.76
    OHN
    -0.75
    yip
    -0.73
    å¾
    -0.73
    âĶĢ
    -0.69
    Contents
    -0.68
    è¿
    -0.67
    Synopsis
    -0.67
    POSITIVE LOGITS
    asp
    1.59
     hairs
    1.30
    iff
    0.87
     thor
    0.76
     acres
    0.72
     Bots
    0.70
     Argent
    0.69
     Vog
    0.68
    iffs
    0.67
     Bees
    0.64
    Activations Density 0.001%

    No Known Activations