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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. 20770
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    Explanations

    numbers related to sports statistics

    oai_token-act-pair · gpt-3.5-turbo

    numerical statistics or scores related to sports

    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
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    No Comments

    Negative Logits
    SPONSORED
    -0.86
    advertisement
    -0.76
    dayName
    -0.70
    iosis
    -0.66
    ãĤ¡
    -0.64
    DCS
    -0.64
    plex
    -0.63
    iasco
    -0.62
    âĢİ
    -0.62
    Ø©
    -0.62
    POSITIVE LOGITS
    vati
    0.68
    ©¶æ¥µ
    0.62
    ģĸ
    0.60
     smoked
    0.60
    msg
    0.59
     avg
    0.58
    ython
    0.57
     Streaming
    0.57
     Participation
    0.55
     skipped
    0.55
    Activations Density 0.119%

    No Known Activations