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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. 9-RES-JB
    6. 8514
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    INDEX
    Explanations

    mentions of agricultural terms or concepts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to agriculture and its associated sectors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hered
    -0.88
    anu
    -0.81
    nah
    -0.81
    chens
    -0.79
    urat
    -0.79
    steen
    -0.79
    ching
    -0.77
    cham
    -0.76
    room
    -0.76
    hov
    -0.75
    POSITIVE LOGITS
     sciences
    0.93
     engineering
    0.89
     industry
    0.87
     industries
    0.87
     commodities
    0.85
     pursuits
    0.85
     hygiene
    0.83
     products
    0.83
     hazards
    0.83
     establishments
    0.82
    Activations Density 0.141%

    No Known Activations