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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. 2-RES-JB
    6. 24100
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    Explanations

    phrases related to a specific person or topic (Whitewater)

    oai_token-act-pair · gpt-3.5-turbo

    references to the name "Whit."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    PsyNetMessage
    -0.94
    anwhile
    -0.91
    ournal
    -0.81
    igslist
    -0.81
    Pg
    -0.78
    raltar
    -0.78
    aeda
    -0.73
     mileage
    -0.70
    ccording
    -0.70
    awaru
    -0.70
    POSITIVE LOGITS
    ewater
    1.20
    bread
    1.14
    ners
    1.02
    robe
    1.02
    ening
    0.98
    eness
    0.96
    acre
    0.94
    ened
    0.93
    estone
    0.92
    mire
    0.89
    Activations Density 0.009%

    No Known Activations