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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. 5046
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    Explanations

    times mentioned in a format like minutes and seconds in a sports game

    oai_token-act-pair · gpt-3.5-turbo

    numeric representations of time and scores in sports contexts

    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
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    Negative Logits
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    aux
    -0.68
    irie
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    POSITIVE LOGITS
    PM
    0.91
    pm
    0.90
     autop
    0.90
     PDT
    0.89
     pm
    0.86
    AM
    0.78
     PM
    0.75
     EDT
    0.73
     BST
    0.72
     PST
    0.71
    Activations Density 0.046%

    No Known Activations