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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. 10-RES-JB
    6. 15416
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    Explanations

    mentions of lists or items being on a list

    oai_token-act-pair · gpt-3.5-turbo

    references related to lists and rankings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     prevailed
    -0.70
    wright
    -0.69
     apprehend
    -0.67
    nce
    -0.63
     situated
    -0.62
    Allows
    -0.62
    idian
    -0.61
    say
    -0.60
     wrest
    -0.59
    icz
    -0.59
    POSITIVE LOGITS
     list
    1.92
     lists
    1.47
     List
    1.46
    list
    1.38
     blacklist
    1.31
     checklist
    1.29
     Lists
    1.29
     LIST
    1.25
    LIST
    1.24
    List
    1.23
    Activations Density 0.263%

    No Known Activations