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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. 1-RES-JB
    11. 6982
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    Explanations

    time-related durations or lengths

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating duration or time periods

    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
    rim
    -0.71
    upon
    -0.70
    know
    -0.65
    laws
    -0.64
    rub
    -0.63
    rouch
    -0.63
    ricks
    -0.63
    pheus
    -0.62
    sie
    -0.62
    house
    -0.62
    POSITIVE LOGITS
     lasted
    1.28
     lasting
    1.00
     therap
    0.98
     destro
    0.95
    ĸļ
    0.92
     lasts
    0.91
    wcs
    0.82
    TPPStreamerBot
    0.81
     captcha
    0.77
     leng
    0.77
    Activations Density 0.006%

    No Known Activations