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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. 9676
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    Explanations

    words related to American football defensive plays, specifically focusing on sacking the quarterback

    oai_token-act-pair · gpt-3.5-turbo

    terms related to quarterback sacks in football

    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
    church
    -0.64
     Gentle
    -0.63
     Cause
    -0.63
     Relations
    -0.63
    wig
    -0.62
    bidden
    -0.62
    ancial
    -0.62
    appa
    -0.62
    rina
    -0.62
    cause
    -0.61
    POSITIVE LOGITS
     sack
    1.06
     sacks
    0.95
     Sack
    0.91
    acks
    0.83
    tackle
    0.79
    cloth
    0.78
    acked
    0.74
    DAQ
    0.72
    acking
    0.72
    Jar
    0.70
    Activations Density 0.006%

    No Known Activations