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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. 8-RES-JB
    6. 17014
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    Explanations

    proper nouns or names of specific entities

    oai_token-act-pair · gpt-3.5-turbo

    articles preceding nouns

    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
     presently
    -0.74
    INGTON
    -0.72
    Dialogue
    -0.70
    TY
    -0.69
    mares
    -0.69
    Edit
    -0.66
     Adin
    -0.66
     hereby
    -0.65
    FIELD
    -0.65
    Entry
    -0.65
    POSITIVE LOGITS
     catalyst
    0.95
     originally
    0.93
     successful
    0.90
     memorable
    0.89
     spirited
    0.89
     unsuccessful
    0.89
     revelation
    0.88
     last
    0.86
     pioneer
    0.85
     mistake
    0.85
    Activations Density 0.260%

    No Known Activations