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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. 19404
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    Explanations

    words related to makeup application

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to making decisions or choices

    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
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    No Comments

    Negative Logits
     juven
    -0.68
    Constructed
    -0.67
    eger
    -0.66
    rocal
    -0.61
     corridors
    -0.58
     depths
    -0.58
     overfl
    -0.57
     lows
    -0.57
     nights
    -0.57
     gestation
    -0.57
    POSITIVE LOGITS
    pins
    0.69
    thood
    0.66
     Osw
    0.65
     AMERICA
    0.65
     mistake
    0.64
    sense
    0.63
    merce
    0.62
     Believe
    0.62
    elly
    0.62
    Wan
    0.61
    Activations Density 0.065%

    No Known Activations