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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. 5567
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    Explanations

    words related to positions or locations

    oai_token-act-pair · gpt-3.5-turbo

    count nouns that indicate various categories or groups of entities

    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
    ocracy
    -0.68
    cca
    -0.62
    aeda
    -0.60
    igun
    -0.58
     Ashes
    -0.57
    ghazi
    -0.56
     Relief
    -0.56
     Narr
    -0.55
     Corpus
    -0.55
    imaru
    -0.55
    POSITIVE LOGITS
    mith
    0.85
     sprang
    0.78
     logged
    0.75
     remain
    0.73
     dealt
    0.72
     remained
    0.70
     yielded
    0.70
     were
    0.69
     rescind
    0.68
     have
    0.68
    Activations Density 0.303%

    No Known Activations