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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. 9-RES-JB
    11. 997
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    Explanations

    names of individuals, possibly in the context of government or politics

    oai_token-act-pair · gpt-3.5-turbo

    forms of proper nouns and specific names related to individuals or entities

    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
     equivalent
    -0.67
     litter
    -0.66
     EDITION
    -0.64
     trad
    -0.64
     envy
    -0.62
    Âł
    -0.61
     local
    -0.61
     AAA
    -0.61
     magnification
    -0.60
     quad
    -0.60
    POSITIVE LOGITS
    ovich
    1.21
    ansky
    1.20
    zynski
    1.20
    owsky
    1.14
    inski
    1.14
    kowski
    1.13
    ovsky
    1.12
    baugh
    1.10
    owicz
    1.10
    heimer
    1.10
    Activations Density 0.236%

    No Known Activations