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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. 13406
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    INDEX
    Explanations

    comparative and superlative adjectives

    oai_token-act-pair · gpt-3.5-turbo

    comparative and superlative adjectives indicating size, distance, and intensity

    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
    IENCE
    -0.75
    ————
    -0.68
    Doctor
    -0.67
    ARA
    -0.66
    ãĥĵ
    -0.63
    uba
    -0.63
    AIDS
    -0.62
    FORE
    -0.62
     Zeal
    -0.62
    ARS
    -0.61
    POSITIVE LOGITS
    hest
    0.83
     portions
    0.68
     estates
    0.67
    iest
    0.67
     sul
    0.67
    liest
    0.66
    most
    0.66
     "$:/
    0.66
    thren
    0.65
    ħĭ
    0.65
    Activations Density 0.063%

    No Known Activations