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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. 9-RES-JB
    11. 7307
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    Explanations

    words related to people or persons

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals or groups of people

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    shire
    -0.68
    picture
    -0.67
    enegger
    -0.66
    DEV
    -0.64
     Pulse
    -0.63
    enance
    -0.62
     diplom
    -0.62
     Beir
    -0.61
     EDITION
    -0.61
    OME
    -0.59
    POSITIVE LOGITS
    gging
    1.16
    eking
    1.15
    ggy
    1.14
    eps
    1.13
    formance
    1.07
    gged
    1.05
    eping
    1.04
    asant
    1.03
    ptic
    1.02
    pperc
    1.01
    Activations Density 0.015%

    No Known Activations