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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. 13065
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    Explanations

    time periods or durations

    oai_token-act-pair · gpt-3.5-turbo

    references to time periods and durations

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    Inside
    -0.65
     Ahead
    -0.64
    elight
    -0.64
    Ast
    -0.62
    odder
    -0.61
    Room
    -0.60
    uala
    -0.60
    RAG
    -0.60
     Luck
    -0.60
    EO
    -0.59
    POSITIVE LOGITS
     millennia
    1.06
     period
    1.04
     decades
    0.99
     periods
    0.97
     centuries
    0.97
     span
    0.94
     horizon
    0.92
     generations
    0.92
     weekend
    0.90
     years
    0.86
    Activations Density 0.146%

    No Known Activations