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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. 13376
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    Explanations

    phrases or words related to research or experiments involving human subjects

    oai_token-act-pair · gpt-3.5-turbo

    repetitive mentions of "subjects" in various contexts

    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
    ATIONAL
    -0.80
    neau
    -0.75
     Genie
    -0.75
    IER
    -0.72
    TI
    -0.67
    RAY
    -0.67
     Clement
    -0.66
    ARK
    -0.64
    SOURCE
    -0.64
    ATIONS
    -0.64
    POSITIVE LOGITS
     Subjects
    1.20
     subjects
    1.09
    manship
    1.04
    userc
    0.87
    etter
    0.86
    matter
    0.83
    rences
    0.83
    iuses
    0.82
    ively
    0.81
    subject
    0.81
    Activations Density 0.005%

    No Known Activations