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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. 14775
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    Explanations

    mentions of the word "che" followed by different letters or numbers, often occurring in names like "Beauchemin" or "Sanchez"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "che."

    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
    ially
    -0.70
    iating
    -0.69
     unthinkable
    -0.62
    ually
    -0.60
     lawfully
    -0.59
    INGTON
    -0.59
    aciously
    -0.58
    iates
    -0.57
     CTR
    -0.56
     justice
    -0.55
    POSITIVE LOGITS
    tta
    1.36
    tto
    1.31
    tt
    1.21
    tti
    1.20
    roo
    1.13
    ttes
    1.10
    lla
    1.09
    dule
    1.08
    lde
    1.05
    rette
    1.00
    Activations Density 0.047%

    No Known Activations