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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. 6-RES-JB
    11. 7453
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    INDEX
    Explanations

    references to high-ranking individuals in companies, especially executives

    oai_token-act-pair · gpt-3.5-turbo

    terms related to corporate leadership roles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    INGTON
    -0.80
    ¬¼
    -0.77
    ruck
    -0.75
    Interstitial
    -0.71
    Anti
    -0.69
    DonaldTrump
    -0.68
    ãĥ¼ãĥ³
    -0.67
     Tropical
    -0.66
    ttp
    -0.66
     Patrol
    -0.65
    POSITIVE LOGITS
     executives
    0.88
    doms
    0.85
     memo
    0.73
     suites
    0.72
    otonin
    0.70
     incent
    0.69
     salaries
    0.69
    ority
    0.68
    aults
    0.67
     tasked
    0.67
    Activations Density 0.103%

    No Known Activations