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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. 2804
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    Explanations

    actions or suggestions related to behavior or conduct

    oai_token-act-pair · gpt-3.5-turbo

    calls to action or requests for specific behaviors from individuals or groups

    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
    Ö¼
    -0.77
    etimes
    -0.67
     presided
    -0.64
    rium
    -0.62
    enium
    -0.60
    abase
    -0.58
     teased
    -0.58
    zed
    -0.57
     whim
    -0.55
    tones
    -0.54
    POSITIVE LOGITS
     responsibly
    0.94
     themselves
    0.90
     yourselves
    0.89
    instead
    0.81
     caution
    0.80
    their
    0.80
     THEIR
    0.80
     nonviolent
    0.78
     heed
    0.77
     ASAP
    0.76
    Activations Density 0.394%

    No Known Activations