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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. 6-RES-JB
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    Explanations

    mentions and descriptions related to sports championships

    oai_token-act-pair · gpt-3.5-turbo

    mentions of sports championships

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tics
    -0.82
    utenberg
    -0.79
    omorph
    -0.78
    ometric
    -0.78
    umi
    -0.77
    cedented
    -0.77
    rogen
    -0.75
    atories
    -0.75
    ogen
    -0.73
    itu
    -0.72
    POSITIVE LOGITS
     contender
    0.82
     Boxing
    0.77
     Finals
    0.72
     Wrestling
    0.71
     championship
    0.71
     certs
    0.71
     pedigree
    0.70
     Durham
    0.68
    cake
    0.66
     Series
    0.66
    Activations Density 0.021%

    No Known Activations