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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. 7-RES-JB
    11. 17293
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    INDEX
    Explanations

    information related to sports matches and achievements

    oai_token-act-pair · gpt-3.5-turbo

    statistics and performance metrics related to sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cms
    -0.77
    Materials
    -0.69
    rium
    -0.68
     Cosponsors
    -0.66
    hat
    -0.65
    heit
    -0.64
    enance
    -0.63
    technology
    -0.63
    ppe
    -0.63
    fet
    -0.62
    POSITIVE LOGITS
     stint
    1.14
     playoffs
    1.02
     championships
    0.96
     consecut
    0.96
     outings
    0.94
     victories
    0.92
     postseason
    0.89
     Finals
    0.86
     appearances
    0.84
     playoff
    0.83
    Activations Density 0.495%

    No Known Activations