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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. 12-RES-JB
    11. 3407
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    Explanations

    information related to sports players' positions and activities on the field

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    terms related to sports participation and athletic performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    urrencies
    -0.84
    apest
    -0.75
    azo
    -0.74
    iculty
    -0.74
    sav
    -0.73
    ================================================================
    -0.72
    rikes
    -0.71
    Feed
    -0.71
    aws
    -0.71
    76561
    -0.69
    POSITIVE LOGITS
     professionally
    1.08
     colleg
    1.07
     sparing
    1.05
     shortstop
    1.04
     alongside
    0.95
     fullback
    0.93
     basketball
    0.87
     quarterback
    0.85
     football
    0.82
     golf
    0.80
    Activations Density 0.074%

    No Known Activations