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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. 17790
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    Explanations

    proper nouns or phrases related to influential figures, locations, or entities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to influential figures and notable entities

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ocene
    -0.77
    aeper
    -0.68
    okane
    -0.67
    othal
    -0.67
    yden
    -0.63
    untled
    -0.61
    iciency
    -0.61
    ollen
    -0.61
    acion
    -0.60
    lished
    -0.59
    POSITIVE LOGITS
     EVER
    1.04
     imaginable
    0.81
     namely
    0.79
     Ever
    0.76
     ever
    0.75
    Ever
    0.71
     viz
    0.70
    mith
    0.67
     -
    0.66
     sibling
    0.65
    Activations Density 0.336%

    No Known Activations