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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. 11-RES-JB
    11. 12931
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    INDEX
    Explanations

    phrases related to sports scores and team performance

    oai_token-act-pair · gpt-3.5-turbo

    sentence endings and punctuation marks in the context of sports commentary

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     concess
    -1.13
     coerc
    -0.95
     involuntary
    -0.91
     facult
    -0.90
     perspect
    -0.90
     polymorph
    -0.88
     sensit
    -0.88
     impulse
    -0.87
     mascul
    -0.84
     integ
    -0.83
    POSITIVE LOGITS
     Their
    1.46
     They
    1.43
     Winning
    1.32
    Their
    1.22
     Despite
    1.20
     Granted
    1.20
     Teams
    1.20
     Congratulations
    1.19
    They
    1.15
     Considering
    1.15
    Activations Density 0.227%

    No Known Activations