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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. 9073
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    Explanations

    dialogue punctuation marks, particularly quotations

    oai_token-act-pair · gpt-3.5-turbo

    quotation marks and spoken dialogue in the text

    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
    ¥ŀ
    -1.07
     satell
    -1.00
     stocking
    -0.86
     eleph
    -0.85
     foreseeable
    -0.84
     confir
    -0.81
     occas
    -0.81
     expanding
    -0.80
     oun
    -0.80
     discern
    -0.80
    POSITIVE LOGITS
    Yeah
    1.89
    Oh
    1.87
    Alright
    1.84
    Okay
    1.84
    Fine
    1.81
    Well
    1.81
    Huh
    1.79
    Uh
    1.79
    Hmm
    1.78
    Wait
    1.75
    Activations Density 0.132%

    No Known Activations