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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. 8184
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    Explanations

    phrases related to real-life situations or examples

    oai_token-act-pair · gpt-3.5-turbo

    references to real-life situations and experiences

    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
    xit
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    ressive
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    indal
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    POSITIVE LOGITS
     scenarios
    0.87
     examples
    0.85
     situations
    0.80
     example
    0.75
     scenario
    0.75
     occurrences
    0.74
    rawdownloadcloneembedreportprint
    0.73
     demonstration
    0.73
     occurrence
    0.72
     embodiment
    0.72
    Activations Density 0.075%

    No Known Activations