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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. 19971
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    Explanations

    descriptions of sports competition finals

    oai_token-act-pair · gpt-3.5-turbo

    references to final matches or events in competitions

    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
    relative
    -0.78
    afort
    -0.74
    XT
    -0.74
    spr
    -0.72
    velt
    -0.70
    Lago
    -0.70
    shire
    -0.68
    stadt
    -0.67
    kun
    -0.67
    forward
    -0.66
    POSITIVE LOGITS
     straw
    0.89
     showdown
    0.88
     season
    0.84
     standings
    0.83
     curtain
    0.83
     hurdle
    0.81
     whistle
    0.78
     unbeaten
    0.75
     blow
    0.74
     installment
    0.74
    Activations Density 0.017%

    No Known Activations