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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. 9-RES-JB
    11. 17373
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    Explanations

    words related to the act of execution

    oai_token-act-pair · gpt-3.5-turbo

    references to executions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ijn
    -0.79
     Lanka
    -0.72
    landers
    -0.68
     Soda
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     Tire
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    thora
    -0.67
    IGH
    -0.65
    é¾įå
    -0.65
     Acid
    -0.64
     Lank
    -0.64
    POSITIVE LOGITS
    eering
    0.80
     execute
    0.76
    locks
    0.76
     executes
    0.75
    eers
    0.75
     executed
    0.74
    ution
    0.74
     execution
    0.73
     executions
    0.71
    sequence
    0.70
    Activations Density 0.047%

    No Known Activations