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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. 10-RES-JB
    6. 3908
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ö¼
    -0.56
    ":"/
    -0.54
    é¾įå
    -0.52
     confines
    -0.52
    ÙĴ
    -0.52
     withd
    -0.50
     cred
    -0.50
    otherapy
    -0.50
    Ùİ
    -0.50
     answ
    -0.49
    POSITIVE LOGITS
     etc
    0.93
    ,...
    0.84
     and
    0.80
    ,
    0.75
    ...)
    0.72
     &
    0.72
    â̦)
    0.69
     Jr
    0.69
    ĪĴ
    0.67
     ect
    0.65
    Activations Density 0.220%

    No Known Activations