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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
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    Explanations

    references to the sport of rugby

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the sport of rugby

    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
    uyomi
    -0.83
    ablishment
    -0.78
    places
    -0.76
    eanor
    -0.74
    DonaldTrump
    -0.70
    ressive
    -0.70
    ibal
    -0.69
    aunder
    -0.69
    iment
    -0.69
    iments
    -0.68
    POSITIVE LOGITS
     union
    0.82
     rugby
    0.82
     Rugby
    0.81
    atu
    0.79
     league
    0.79
     Football
    0.77
     Cricket
    0.73
     Players
    0.71
     League
    0.71
     federation
    0.67
    Activations Density 0.009%

    No Known Activations