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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. 7031
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    Explanations

    sentences indicating a significant event or change

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks at the end of sentences

    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
    ascus
    -0.81
    ensable
    -0.77
    escription
    -0.73
     extensively
    -0.73
     reluct
    -0.71
     unparalleled
    -0.71
     teasp
    -0.70
     eleph
    -0.68
     enthusi
    -0.68
     concess
    -0.67
    POSITIVE LOGITS
     Either
    2.10
     Maybe
    1.87
    Either
    1.80
     Whatever
    1.76
     Alternatively
    1.76
     Or
    1.69
     Regardless
    1.65
     Perhaps
    1.60
     Possibly
    1.55
    Maybe
    1.47
    Activations Density 0.347%

    No Known Activations