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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. 4-RES-JB
    11. 10126
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    INDEX
    Explanations

    mentions of sports championships and related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to various championships

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

    No Comments

    Negative Logits
    itu
    -0.82
    abet
    -0.79
    umi
    -0.72
    tics
    -0.71
    rogen
    -0.71
    cedented
    -0.70
    atories
    -0.70
    choes
    -0.70
     beh
    -0.70
    ets
    -0.69
    POSITIVE LOGITS
     Wrestling
    0.89
     Championship
    0.84
     Boxing
    0.83
     Tournament
    0.83
     Championships
    0.81
     Finals
    0.80
     Winners
    0.79
     Series
    0.79
     Circuit
    0.79
     Counsel
    0.78
    Activations Density 0.007%

    No Known Activations