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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 12614
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    INDEX
    Explanations

    years related to sports events

    oai_token-act-pair · gpt-3.5-turbo

    references to specific years and seasons in sports contexts

    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
    Not in Any Lists

    No Comments

    Negative Logits
     shutter
    -0.73
    anguage
    -0.67
    hyde
    -0.63
    hed
    -0.63
    acts
    -0.62
     suppliers
    -0.62
    abulary
    -0.60
    cuts
    -0.59
    izen
    -0.59
    hes
    -0.59
    POSITIVE LOGITS
     playoffs
    1.25
     Playoffs
    1.16
    -'
    1.14
     postseason
    1.14
     playoff
    1.13
     Rookie
    1.12
     offseason
    1.03
     Playoff
    0.98
     Heisman
    0.96
     preseason
    0.95
    Activations Density 0.087%

    No Known Activations