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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. 11-RES-JB
    11. 2845
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    Explanations

    questions or prompts with a question mark at the end

    oai_token-act-pair · gpt-3.5-turbo

    questions marks in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ikuman
    -0.87
     referen
    -0.85
     corrid
    -0.78
     subur
    -0.73
     carbohyd
    -0.73
     earthqu
    -0.71
     transition
    -0.70
     nodd
    -0.69
     srf
    -0.67
     unintention
    -0.67
    POSITIVE LOGITS
     Does
    1.56
     Answer
    1.45
     Are
    1.44
     Would
    1.44
     Surely
    1.43
     Should
    1.42
     How
    1.41
     Could
    1.38
     Wouldn
    1.37
     What
    1.36
    Activations Density 0.149%

    No Known Activations