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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. 13751
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    Explanations

    words related to sports championships and tournaments

    oai_token-act-pair · gpt-3.5-turbo

    references to championships and competitive standings

    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
    tics
    -0.89
    cedented
    -0.85
    utenberg
    -0.77
    umi
    -0.76
    rogen
    -0.76
    atories
    -0.75
    ghan
    -0.75
    tical
    -0.73
    agen
    -0.73
    ometric
    -0.72
    POSITIVE LOGITS
     Finals
    0.80
     contender
    0.78
     Winners
    0.76
     certs
    0.72
     Series
    0.72
     Boxing
    0.72
     Wrestling
    0.69
     winners
    0.67
     championship
    0.66
     winner
    0.65
    Activations Density 0.023%

    No Known Activations