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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. 6-RES-JB
    11. 9414
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    Explanations

    references to computer programming concepts, specifically related to runtime operations

    oai_token-act-pair · gpt-3.5-turbo

    the end of the document or indication of completion

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    naires
    -0.90
    ging
    -0.86
    iosity
    -0.84
    istan
    -0.82
    essee
    -0.81
    umin
    -0.78
    ifying
    -0.78
    iday
    -0.77
    gments
    -0.76
    itude
    -0.76
    POSITIVE LOGITS
    âĸijâĸij
    0.69
     ILCS
    0.66
    lihood
    0.66
    lean
    0.65
     Leone
    0.65
    VEL
    0.64
    metry
    0.64
     Sierra
    0.62
    LOS
    0.61
    phant
    0.59
    Activations Density 0.096%

    No Known Activations