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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. 7897
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    INDEX
    Explanations

    numerical fractions or percentages

    oai_token-act-pair · gpt-3.5-turbo

    quantitative phrases indicating frequencies or probabilities

    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
    complex
    -0.79
    sort
    -0.71
    imir
    -0.71
    ãĤ´ãĥ³
    -0.67
    gang
    -0.65
    ande
    -0.65
    unity
    -0.65
    rev
    -0.65
    unct
    -0.65
    Stage
    -0.64
    POSITIVE LOGITS
     Americans
    0.97
     respondents
    0.96
     households
    0.88
     earners
    0.85
     adults
    0.81
     cases
    0.79
     Australians
    0.78
     Britons
    0.78
     chance
    0.75
     adult
    0.73
    Activations Density 0.052%

    No Known Activations