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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. 3-RES-JB
    11. 12983
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    Explanations

    relevant references to specific volumes or editions, likely in a series or collection

    oai_token-act-pair · gpt-3.5-turbo

    references to volumes of publications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    riad
    -0.84
     Pearce
    -0.68
    erella
    -0.66
    hetics
    -0.66
    -|
    -0.63
    roads
    -0.62
    otle
    -0.61
     Rampage
    -0.61
     polished
    -0.59
    -+-+
    -0.59
    POSITIVE LOGITS
    atility
    1.25
    atile
    1.24
    umes
    1.17
    untary
    1.14
    unte
    0.87
    leys
    0.83
    untarily
    0.83
    vol
    0.81
    uble
    0.78
     juven
    0.77
    Activations Density 0.013%

    No Known Activations