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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 0-RES-JB
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    Explanations

    years

    oai_token-act-pair · gpt-3.5-turbo

    references to specific years, particularly in the context of important events or cultural artifacts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âľ
    -0.75
    ··
    -0.71
    fox
    -0.67
    ng
    -0.64
    fy
    -0.62
     distractions
    -0.61
    Reddit
    -0.61
     Jaune
    -0.60
    uters
    -0.60
    ping
    -0.60
    POSITIVE LOGITS
     1982
    3.10
     1983
    3.05
     1981
    3.02
     1979
    2.99
     1978
    2.90
     1976
    2.87
     1977
    2.86
     1986
    2.83
     1985
    2.83
     1984
    2.77
    Activations Density 0.042%

    No Known Activations