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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. 9-RES-JB
    6. 10655
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    INDEX
    Explanations

    comparative and superlative adverbs related to intensity or extent

    oai_token-act-pair · gpt-3.5-turbo

    intensifiers that emphasize the extent or degree of something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iris
    -0.73
    nces
    -0.73
    teness
    -0.70
    ties
    -0.70
    iture
    -0.69
    thia
    -0.69
     Canary
    -0.68
    formation
    -0.68
    iom
    -0.68
     Rite
    -0.68
    POSITIVE LOGITS
     underrated
    1.05
     appreciated
    1.01
     underestimated
    1.00
     admired
    0.93
     exaggerated
    0.92
     misunderstood
    0.92
     overest
    0.92
     varying
    0.91
     exagger
    0.90
     simplified
    0.89
    Activations Density 0.061%

    No Known Activations