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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. 6-RES-JB
    6. 16537
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    Explanations

    questions expressing curiosity or seeking information about the nature or type of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases relating to types or categories

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eni
    -0.77
    orest
    -0.76
    ĸļ
    -0.73
    enes
    -0.72
    esty
    -0.71
    pak
    -0.70
    cius
    -0.70
    arest
    -0.69
     Pigs
    -0.69
    ences
    -0.67
    POSITIVE LOGITS
     thing
    0.78
     relationship
    0.72
     luck
    0.72
     manners
    0.68
     surprises
    0.68
     millenn
    0.68
     monster
    0.67
     deal
    0.66
     goodies
    0.65
     sleeper
    0.64
    Activations Density 0.043%

    No Known Activations