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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. 2-RES-JB
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    Explanations

    keywords related to the Dallas Cowboys football team

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Cowboys, specifically in relation to player performance and statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itia
    -0.84
    tered
    -0.80
    iltration
    -0.76
    oldemort
    -0.75
    igation
    -0.72
    tering
    -0.70
    tle
    -0.69
    ilty
    -0.69
    igating
    -0.68
    oston
    -0.68
    POSITIVE LOGITS
     Cowboys
    1.20
    esses
    0.95
     Mavericks
    0.89
    men
    0.85
    layer
    0.81
     Stadium
    0.78
     Ezekiel
    0.77
     Raiders
    0.77
     Texans
    0.77
    ervative
    0.72
    Activations Density 0.011%

    No Known Activations