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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. 10-RES-JB
    11. 7874
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    Explanations

    references to events or situations happening in the future

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of the future

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    cius
    -0.72
    mel
    -0.67
    fred
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    ouver
    -0.63
    ideshow
    -0.63
    paio
    -0.63
    tha
    -0.62
    lua
    -0.61
    emis
    -0.60
    edIn
    -0.60
    POSITIVE LOGITS
     generations
    0.98
     tense
    0.93
     installments
    0.91
     iterations
    0.85
     editions
    0.77
     onwards
    0.77
     endeavors
    0.73
     timeframe
    0.73
     Generations
    0.73
     sequels
    0.73
    Activations Density 0.032%

    No Known Activations