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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 1663
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    Explanations

    specific times of events being mentioned

    oai_token-act-pair · gpt-3.5-turbo

    timestamps or times in various formats

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ĸļ
    -0.82
    ourge
    -0.79
    warts
    -0.74
    ramid
    -0.72
    hered
    -0.71
    emonium
    -0.71
    lar
    -0.71
    rolet
    -0.68
    amaru
    -0.67
    liga
    -0.67
    POSITIVE LOGITS
    30
    0.96
     ILCS
    0.81
    nm
    0.78
    50
    0.78
    20439
    0.78
    40
    0.77
    ×ķ
    0.76
    34
    0.75
    ा
    0.75
    60
    0.75
    Activations Density 0.026%

    No Known Activations