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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. 14530
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    Explanations

    numerical descriptions of quantities or amounts

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating approximate quantities or nearing amounts

    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
    oit
    -0.73
    agate
    -0.67
    oris
    -0.66
    ä»
    -0.64
    Õ
    -0.60
    Tweet
    -0.60
    ota
    -0.59
    Ù
    -0.58
    اÙĦ
    -0.58
    soDeliveryDate
    -0.58
    POSITIVE LOGITS
     identical
    1.09
     unanimous
    0.98
     limitless
    0.97
     everything
    0.94
     every
    0.91
     everyone
    0.89
     everybody
    0.85
     all
    0.84
     instantaneous
    0.83
     universally
    0.82
    Activations Density 0.047%

    No Known Activations