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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. 7-RES-JB
    11. 3631
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    Explanations

    dates and times in a structured format

    oai_token-act-pair · gpt-3.5-turbo

    end-of-text markers or signify a break in content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    nesday
    -0.78
    wagen
    -0.76
     destro
    -0.75
    akespe
    -0.73
    ilaterally
    -0.69
     agre
    -0.69
    emale
    -0.68
     neighb
    -0.68
    uese
    -0.68
     undermin
    -0.68
    POSITIVE LOGITS
     ILCS
    0.74
    CHAPTER
    0.72
     Introduction
    0.68
     partName
    0.66
    \":
    0.66
     Shin
    0.64
     ãĥ
    0.63
    Ĥª
    0.63
    FactoryReloaded
    0.62
     Expand
    0.62
    Activations Density 0.192%

    No Known Activations