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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 19418
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to programming and data structures

    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
    tical
    -0.70
    aeda
    -0.69
    thur
    -0.67
    zan
    -0.67
    cffffcc
    -0.66
    soDeliveryDate
    -0.65
    Ħ¢
    -0.65
    gypt
    -0.65
    emale
    -0.64
    arak
    -0.64
    POSITIVE LOGITS
     params
    1.02
     initialization
    1.00
     URI
    0.97
     JSON
    0.96
     dynamically
    0.95
     handler
    0.94
     XML
    0.93
     node
    0.92
     parameter
    0.92
     tuple
    0.91
    Activations Density 0.286%

    No Known Activations