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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. 16659
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    Explanations

    phrases related to actions or changes that need to be taken in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a need for action or improvement

    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
    Downloadha
    -0.69
     fame
    -0.68
     annoyance
    -0.66
    Released
    -0.65
    ighed
    -0.64
    hetti
    -0.62
     mysteriously
    -0.61
     amusement
    -0.61
    ottest
    -0.59
    paio
    -0.57
    POSITIVE LOGITS
     ourselves
    1.43
     our
    0.86
     responsibly
    0.80
     urgently
    0.78
     bipartisan
    0.77
     smarter
    0.77
     everybody
    0.76
    ãĥ³ãĤ¸
    0.72
     policymakers
    0.72
     mindset
    0.71
    Activations Density 0.500%

    No Known Activations