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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. 5-RES-JB
    6. 3683
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    INDEX
    Explanations

    positive traits or characteristics about individuals or entities

    oai_token-act-pair · gpt-3.5-turbo

    positive adjectives and their intensifiers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ħ¢
    -0.80
    early
    -0.74
    jen
    -0.73
    POST
    -0.71
    hower
    -0.71
    advertising
    -0.71
    merce
    -0.70
    ī
    -0.70
    late
    -0.69
    steps
    -0.67
    POSITIVE LOGITS
     knack
    0.93
     chance
    0.93
     credibility
    0.79
     opportunity
    0.76
     legs
    0.76
     ambitions
    0.75
     flair
    0.75
     flexibility
    0.74
     penchant
    0.73
     advantages
    0.73
    Activations Density 0.315%

    No Known Activations