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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. 9-RES-JB
    11. 2571
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    Explanations

    sports news and media sources

    oai_token-act-pair · gpt-3.5-turbo

    references to sports-related content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    wcs
    -0.91
    ouses
    -0.77
    ously
    -0.75
    ufact
    -0.75
     miscar
    -0.72
     sidel
    -0.71
    ered
    -0.68
    zers
    -0.67
    ĺħ
    -0.67
    yrinth
    -0.64
    POSITIVE LOGITS
     Illustrated
    0.84
     Analytics
    0.83
    avage
    0.73
    Analysis
    0.73
     Solutions
    0.68
     Fantasy
    0.67
    ãĤ»
    0.66
     Drink
    0.65
    Center
    0.65
    EEK
    0.65
    Activations Density 0.032%

    No Known Activations