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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. 8170
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    Explanations

    specific sports teams or organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to specific sports teams and players

    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
     conflic
    -0.68
     disagreement
    -0.66
    disc
    -0.65
    ppo
    -0.64
    perse
    -0.62
    aminer
    -0.59
    pse
    -0.59
    resist
    -0.59
     essays
    -0.58
    ussed
    -0.58
    POSITIVE LOGITS
     Athletics
    0.84
     academy
    0.82
     helm
    0.79
     Athletic
    0.76
     affiliate
    0.74
     Career
    0.74
     acad
    0.73
     athletics
    0.72
     Broadcasting
    0.70
     stint
    0.69
    Activations Density 0.325%

    No Known Activations