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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 3934
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    Explanations

    references to the word "pent" with varying levels of relevance

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "pent" in various contexts, likely related to pentagrams or penthouses

    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
    ãģĦ
    -0.82
     Shake
    -0.71
     Mahar
    -0.65
    ï¸ı
    -0.63
     Ready
    -0.61
     advances
    -0.58
     Clone
    -0.57
     Combine
    -0.56
     Gaga
    -0.54
     flourish
    -0.54
    POSITIVE LOGITS
    agram
    1.40
    agonal
    1.39
    agon
    1.34
    agons
    1.31
    athlon
    1.16
    acles
    1.15
    acle
    1.11
    obar
    1.09
    house
    1.09
    othal
    1.08
    Activations Density 0.041%

    No Known Activations