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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 3-RES-JB
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    Explanations

    references to the sports team "Knicks"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the New York Knicks basketball team

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    jamin
    -0.70
    LOAD
    -0.68
    cyl
    -0.67
    ional
    -0.64
    ainer
    -0.64
    AUT
    -0.61
    tan
    -0.61
    teen
    -0.61
    quer
    -0.60
    oys
    -0.60
    POSITIVE LOGITS
     Knicks
    0.99
    manship
    0.74
    onite
    0.69
    hester
    0.69
    ppelin
    0.68
     Mansion
    0.66
    osher
    0.66
     mosqu
    0.65
    eries
    0.65
     Properties
    0.64
    Activations Density 0.011%

    No Known Activations