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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. 17045
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    INDEX
    Explanations

    words related to emphasizing or stressing a point

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "emphasize."

    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
    busters
    -0.75
    onew
    -0.73
    advertising
    -0.68
    ettes
    -0.68
    iop
    -0.68
    sil
    -0.68
    abet
    -0.68
    found
    -0.67
    abases
    -0.67
    Beck
    -0.66
    POSITIVE LOGITS
    xual
    0.91
     emphasizing
    0.91
     emphasizes
    0.81
     emphasized
    0.80
     emphasize
    0.80
     shifts
    0.80
     contrasts
    0.78
     emphasis
    0.75
     stresses
    0.74
     specialization
    0.71
    Activations Density 0.022%

    No Known Activations