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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. 8-RES-JB
    11. 11766
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    technical terms and references related to programming or data management

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Fla
    -0.62
    romeda
    -0.61
     Towns
    -0.61
     Ross
    -0.60
    Americ
    -0.57
     Sloan
    -0.57
    yrinth
    -0.57
     Victor
    -0.56
     investigating
    -0.56
     Helen
    -0.55
    POSITIVE LOGITS
     disappears
    1.09
     refers
    1.01
     alone
    1.00
     signifies
    0.97
     represents
    0.97
     corresponds
    0.93
     equals
    0.93
     lasts
    0.92
     =
    0.89
     contains
    0.89
    Activations Density 0.479%

    No Known Activations