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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. 13117
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    Explanations

    instances of mentioning prestigious sporting events

    oai_token-act-pair · gpt-3.5-turbo

    references to Grand Slam tournaments and competitions in sports

    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
    bart
    -0.68
     Andersen
    -0.68
    iblical
    -0.67
    etchup
    -0.66
    utterstock
    -0.65
    ibly
    -0.65
    gur
    -0.64
     Barron
    -0.64
    erson
    -0.63
    irit
    -0.63
    POSITIVE LOGITS
     Championships
    0.97
     standings
    0.92
     Races
    0.92
     Tournament
    0.89
     Championship
    0.88
     championships
    0.86
    eers
    0.86
     tournament
    0.83
     championship
    0.81
     races
    0.80
    Activations Density 0.162%

    No Known Activations