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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. 16863
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    INDEX
    Explanations

    positive words or phrases

    oai_token-act-pair · gpt-3.5-turbo

    expressions of positive sentiment

    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
    loo
    -0.73
     Hearts
    -0.69
    HAEL
    -0.69
    wine
    -0.69
    opsy
    -0.68
     Brilliant
    -0.67
    ARDS
    -0.64
    AMES
    -0.64
    doms
    -0.63
     spo
    -0.63
    POSITIVE LOGITS
    itional
    1.63
    itions
    1.52
    itivity
    1.30
    idon
    1.21
    itor
    1.15
    itive
    1.15
    itionally
    1.15
    itives
    1.14
    itory
    1.13
    icion
    1.13
    Activations Density 0.059%

    No Known Activations