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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. 8-RES-JB
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    Explanations

    references to the sports team "Wisconsin Badgers"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the "Badgers" sports team, specifically related to their performances and attributes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    conservancy
    -0.86
    ĸļ
    -0.83
    izabeth
    -0.76
    theless
    -0.70
    utical
    -0.69
    plete
    -0.69
     Lauder
    -0.68
    thens
    -0.67
    orthy
    -0.66
     helic
    -0.65
    POSITIVE LOGITS
    ger
    1.15
    ges
    1.13
    gers
    1.06
    ged
    1.03
    die
    0.94
    ging
    0.91
    ge
    0.91
    ass
    0.89
    lands
    0.82
    Bad
    0.81
    Activations Density 0.016%

    No Known Activations