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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. 10-RES-JB
    11. 5761
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    INDEX
    Explanations

    phrases indicating reasoning or explanation

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate statements or beliefs

    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
    ãĤ©
    -0.71
    ãĤ´ãĥ³
    -0.67
    abre
    -0.67
    ãĥ¯ãĥ³
    -0.63
    ãĥ¼ãĥĨãĤ£
    -0.62
    andise
    -0.61
    æĿ
    -0.59
    ¢
    -0.57
     pione
    -0.57
    ////////////////
    -0.57
    POSITIVE LOGITS
     Allaah
    0.82
     Canaver
    0.72
     Voldemort
    0.69
     Melania
    0.68
     Chomsky
    0.66
     homosexuality
    0.66
     Kejriwal
    0.66
     anarchists
    0.66
     Netanyahu
    0.65
     Snape
    0.65
    Activations Density 0.657%

    No Known Activations