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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. 4-RES-JB
    11. 2109
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    INDEX
    Explanations

    research subjects or participants in a study

    oai_token-act-pair · gpt-3.5-turbo

    the term "subjects" in various contexts related to experimental or study participants

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

    No Comments

    Negative Logits
    SOURCE
    -0.77
    IELD
    -0.72
     Genie
    -0.72
    neau
    -0.69
    ERROR
    -0.68
    GBT
    -0.67
    GGGG
    -0.66
     playoffs
    -0.62
    OUT
    -0.62
    TERN
    -0.62
    POSITIVE LOGITS
    ively
    1.02
    manship
    1.01
     Subjects
    1.00
    hip
    0.97
    matter
    0.95
    userc
    0.86
    etter
    0.83
     subjects
    0.80
    ivities
    0.79
    iuses
    0.77
    Activations Density 0.012%

    No Known Activations