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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. 10-RES-JB
    6. 4102
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    INDEX
    Explanations

    locations and cities around the world

    oai_token-act-pair · gpt-3.5-turbo

    names of cities or locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    slot
    -0.77
    lihood
    -0.73
    Leod
    -0.66
    reviewed
    -0.65
    inventory
    -0.63
     explanatory
    -0.63
    ledged
    -0.62
    ository
    -0.62
    uggest
    -0.62
    Recommended
    -0.61
    POSITIVE LOGITS
     natives
    1.10
     skyline
    1.00
    ese
    0.98
     winters
    0.98
    ites
    0.95
     residents
    0.95
    ans
    0.94
    ESE
    0.93
    ians
    0.92
     Skies
    0.91
    Activations Density 0.323%

    No Known Activations