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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. 7-RES-JB
    11. 9719
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    Explanations

    references to waiting, obtaining clarity, and ensuring safety

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Variant
    -0.66
    oft
    -0.63
     Strat
    -0.62
     boasting
    -0.61
     Canaveral
    -0.59
     Abram
    -0.59
    <?
    -0.59
     echoing
    -0.58
     preferring
    -0.58
     Ast
    -0.57
    POSITIVE LOGITS
    maxwell
    0.80
    osen
    0.78
    miah
    0.76
    iless
    0.71
    ilated
    0.69
    Enough
    0.68
    enough
    0.68
    orest
    0.66
    livion
    0.66
     sufficiently
    0.66
    Activations Density 0.189%

    No Known Activations