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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. 10-RES-JB
    11. 24298
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    Explanations

    references to specific regions or countries with a focus on the United States

    oai_token-act-pair · gpt-3.5-turbo

    references to the United States government

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     bars
    -0.70
     remarks
    -0.64
     Noir
    -0.63
     juggling
    -0.62
     beware
    -0.61
     blur
    -0.61
     damp
    -0.61
     courtesy
    -0.60
     explaining
    -0.60
     caution
    -0.59
    POSITIVE LOGITS
    gly
    1.20
    nexpected
    1.14
    LT
    1.05
    PDATED
    1.04
    ES
    1.00
    seless
    0.98
    lyss
    0.96
    prising
    0.93
    CC
    0.92
    FP
    0.91
    Activations Density 0.043%

    No Known Activations