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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. 3-RES-JB
    11. 22738
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    Explanations

    references to a specific sports team or athlete called "Badgers"

    oai_token-act-pair · gpt-3.5-turbo

    references to the "Badgers" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.98
    ittee
    -0.76
    ktop
    -0.73
    iveness
    -0.72
    conservancy
    -0.72
    ournal
    -0.71
    orthy
    -0.71
    ONS
    -0.69
    illation
    -0.69
    igating
    -0.68
    POSITIVE LOGITS
    ges
    0.96
    ger
    0.92
    Bad
    0.92
    gers
    0.90
     Bad
    0.89
    die
    0.88
    ged
    0.86
    bad
    0.86
    dest
    0.84
     Luck
    0.84
    Activations Density 0.007%

    No Known Activations