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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. 5-RES-JB
    6. 3596
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ascript
    -0.79
    ilial
    -0.77
    catentry
    -0.75
     Qiao
    -0.70
    theless
    -0.68
    redo
    -0.64
    Versions
    -0.62
     mantle
    -0.59
    arial
    -0.59
    phony
    -0.59
    POSITIVE LOGITS
     Lumpur
    0.96
    EStream
    0.86
    EStreamFrame
    0.86
    ikuman
    0.75
    bye
    0.74
    wagen
    0.72
    nik
    0.71
    utra
    0.70
    boxing
    0.69
    nis
    0.66
    Activations Density 0.560%

    No Known Activations