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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. 21316
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    Explanations

    the abbreviation "UT" followed by a number, particularly "UT9" and "UT10"

    oai_token-act-pair · gpt-3.5-turbo

    the abbreviation "UT" which likely stands for a specific organization or institution

    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
    Not in Any Lists

    No Comments

    Negative Logits
    jet
    -0.64
    strength
    -0.64
     quarters
    -0.63
    backer
    -0.61
     flames
    -0.60
    close
    -0.59
     herb
    -0.59
    boards
    -0.59
    haven
    -0.59
     coil
    -0.58
    POSITIVE LOGITS
    TING
    1.36
    UT
    1.13
    ilitarian
    1.04
    UAL
    1.03
    ESCO
    0.95
    OOL
    0.93
    ierrez
    0.93
    ARI
    0.92
    IONS
    0.90
    LEY
    0.90
    Activations Density 0.003%

    No Known Activations