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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. 3-RES-JB
    6. 14579
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and places

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ·ãĥ£
    -0.73
    Beck
    -0.72
    hardt
    -0.67
    adr
    -0.67
    IGH
    -0.67
    IFE
    -0.63
    arist
    -0.62
    omes
    -0.62
     sorts
    -0.61
    UFF
    -0.61
    POSITIVE LOGITS
    etsk
    0.95
     Pok
    0.93
    asus
    0.93
    oshenko
    0.88
    ongyang
    0.86
    atern
    0.83
    etry
    0.82
    ilon
    0.77
    gran
    0.77
    etary
    0.77
    Activations Density 0.042%

    No Known Activations