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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. 8-RES-JB
    11. 12486
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    Explanations

    references to specific proper nouns, likely related to a particular category or entity like a company, brand, or organization

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "Ortho" indicating a focus on Orthodox communities or subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DERR
    -0.68
    ãĤ¼ãĤ¦ãĤ¹
    -0.62
    URRENT
    -0.61
    BILITIES
    -0.60
    ptoms
    -0.58
    enment
    -0.58
    perature
    -0.56
    encers
    -0.56
    ++
    -0.55
    encing
    -0.55
    POSITIVE LOGITS
    phans
    1.37
    lando
    1.31
    thodox
    1.30
    chid
    1.28
    chard
    1.28
    phan
    1.27
    leans
    1.27
    pheus
    1.23
    acles
    1.17
    anges
    1.16
    Activations Density 0.028%

    No Known Activations