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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. 11654
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    INDEX
    Explanations

    the word "one" followed by a number indicating intensity

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "one."

    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
    older
    -0.82
    mson
    -0.75
    apons
    -0.70
    aeda
    -0.70
    ador
    -0.70
    hess
    -0.67
    enery
    -0.66
    estones
    -0.65
    inders
    -0.64
    cases
    -0.63
    POSITIVE LOGITS
     sided
    1.00
     dimensional
    0.98
     Hundred
    0.92
     minute
    0.91
     hundred
    0.87
     Minute
    0.81
     day
    0.81
     Piece
    0.81
     hour
    0.79
    handedly
    0.79
    Activations Density 0.110%

    No Known Activations