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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. 15632
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    INDEX
    Explanations

    negated statements or contrasts

    oai_token-act-pair · gpt-3.5-turbo

    negations or negative assertions

    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
    HER
    -0.72
    KEY
    -0.71
    ERY
    -0.70
     Companies
    -0.69
    FL
    -0.69
    WAY
    -0.68
    stakes
    -0.68
    SE
    -0.68
    Origin
    -0.68
     Photographer
    -0.68
    POSITIVE LOGITS
    icably
    1.26
     necessarily
    1.18
    icable
    1.07
    epad
    1.04
    withstanding
    0.97
    necess
    0.89
    orious
    0.88
    ifications
    0.87
    ices
    0.86
     accounted
    0.85
    Activations Density 0.184%

    No Known Activations