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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 19880
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    INDEX
    Explanations

    verbs or phrases related to emphasizing or stressing

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases associated with making strong assertions or points

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DragonMagazine
    -0.87
    izons
    -0.83
    busters
    -0.82
    Snow
    -0.74
    kie
    -0.74
    anon
    -0.72
    lio
    -0.72
    ä½ľ
    -0.69
    Newsletter
    -0.68
    iop
    -0.67
    POSITIVE LOGITS
     urgency
    0.90
     importance
    0.81
    iveness
    0.79
     caution
    0.78
     emphasis
    0.76
     emphasizing
    0.75
     teamwork
    0.71
     emphasized
    0.71
     simplicity
    0.70
    uality
    0.70
    Activations Density 0.042%

    No Known Activations