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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. 11-RES-JB
    6. 12786
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    INDEX
    Explanations

    references to figures or entities named "King"

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "King" and its variations related to individuals or entities

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    ted
    -0.73
    TING
    -0.72
    ename
    -0.64
    ATIONS
    -0.64
    ters
    -0.60
    utic
    -0.59
    orers
    -0.59
    ATION
    -0.56
    ations
    -0.55
    ATIONAL
    -0.55
    POSITIVE LOGITS
    pin
    1.38
    pins
    1.26
    uin
    1.23
    doms
    1.02
    dom
    0.98
    STON
    0.98
    ston
    0.92
    DOM
    0.91
     Kong
    0.90
     Abdullah
    0.89
    Activations Density 0.039%

    No Known Activations