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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. 15436
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    Explanations

    codes or abbreviations prefixed with "ST"

    oai_token-act-pair · gpt-3.5-turbo

    references to specific scientific or technical terms related to ST (presumably "sexually transmitted") categories

    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
    Not in Any Lists

    No Comments

    Negative Logits
    EStream
    -0.92
    hower
    -0.73
    merce
    -0.72
    metry
    -0.72
    flies
    -0.71
    glers
    -0.71
    ical
    -0.68
    enegger
    -0.66
     NCT
    -0.64
    mits
    -0.64
    POSITIVE LOGITS
    REAM
    1.15
    UFF
    1.12
    OCK
    1.11
    DERR
    1.06
    AGE
    0.96
    AND
    0.96
    RE
    0.96
    RO
    0.93
    ACK
    0.93
    ANCE
    0.92
    Activations Density 0.013%

    No Known Activations