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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 12503
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    Explanations

    quotation marks

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "quote" in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Parenthood
    -0.80
    gur
    -0.74
    appers
    -0.69
     Hoo
    -0.69
    ild
    -0.65
    IVERS
    -0.65
     Kurd
    -0.64
    ikes
    -0.64
    ceans
    -0.64
    ggles
    -0.64
    POSITIVE LOGITS
     quote
    1.21
     quotes
    1.20
     quotation
    0.97
     quoting
    0.92
     quotations
    0.91
     phrases
    0.89
     quoted
    0.83
    phrase
    0.82
     wording
    0.81
     excerpts
    0.80
    Activations Density 0.008%

    No Known Activations