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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. 5340
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    Explanations

    years or time periods

    oai_token-act-pair · gpt-3.5-turbo

    temporal markers or phrases indicating time references

    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
    Not in Any Lists

    No Comments

    Negative Logits
    SourceFile
    -0.90
    EStream
    -0.83
    gal
    -0.78
    ãĤ´ãĥ³
    -0.77
    ew
    -0.77
    ãĤĬ
    -0.75
    ãĥ¥
    -0.74
    MpServer
    -0.72
    alias
    -0.71
    ById
    -0.69
    POSITIVE LOGITS
     nobody
    0.90
     there
    0.86
     commentators
    0.79
     pundits
    0.76
     analysts
    0.76
     whenever
    0.75
     however
    0.74
     economists
    0.72
     writers
    0.71
     planners
    0.69
    Activations Density 0.159%

    No Known Activations