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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 11316
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    Explanations

    references to a specific entity named "King."

    oai_token-act-pair · gpt-3.5-turbo

    references to "King" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    TING
    -0.85
    ename
    -0.77
    ATIONAL
    -0.74
    eria
    -0.74
    Availability
    -0.72
    ters
    -0.70
    Ö¼
    -0.67
    ATIONS
    -0.66
    ciplinary
    -0.66
    uated
    -0.66
    POSITIVE LOGITS
    pin
    1.23
    uin
    1.19
    pins
    1.16
    doms
    1.13
    dom
    1.03
    fish
    0.98
     Kong
    0.90
    DOM
    0.89
    stown
    0.87
     Abdullah
    0.86
    Activations Density 0.019%

    No Known Activations