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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. 1-RES-JB
    6. 12753
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    Explanations

    terms related to specific entities or proper nouns, particularly related to a specific game development company and game titles

    oai_token-act-pair · gpt-3.5-turbo

    references to the "Arc" series of games and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ö¼
    -0.95
    ãĤ¦ãĤ¹
    -0.78
    natal
    -0.78
    nesday
    -0.77
    milo
    -0.76
    matter
    -0.75
    Todd
    -0.75
    tons
    -0.73
    tk
    -0.71
    ighter
    -0.71
    POSITIVE LOGITS
     Arc
    1.22
    Arc
    1.02
    adia
    0.93
    adian
    0.89
     Seraph
    0.88
    asio
    0.76
    Corp
    0.75
    agraph
    0.75
     Warden
    0.71
    oma
    0.68
    Activations Density 0.009%

    No Known Activations