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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. 8-RES-JB
    11. 12242
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    INDEX
    Explanations

    tennis-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to tennis and associated events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    utters
    -0.73
    uttering
    -0.72
    aneers
    -0.68
     Hancock
    -0.68
     Burnett
    -0.67
    oresc
    -0.66
     Ingram
    -0.66
    reads
    -0.65
    arkin
    -0.64
     UID
    -0.63
    POSITIVE LOGITS
    bledon
    1.31
     tennis
    1.25
     Tennis
    1.13
     volleyball
    0.83
     pian
    0.79
     tournaments
    0.77
    ercise
    0.74
     competitions
    0.73
     champ
    0.72
     tournament
    0.72
    Activations Density 0.060%

    No Known Activations