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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. 1961
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    Explanations

    phrases related to integration and incorporation of technology into various systems or devices

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to integration and embedding of technology in products

    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
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    No Comments

    Negative Logits
     sidx
    -0.72
    hedon
    -0.70
    onna
    -0.69
    MpServer
    -0.67
    Ô
    -0.66
     fame
    -0.66
    ipel
    -0.66
    quickShipAvailable
    -0.65
     peacefully
    -0.64
    Plot
    -0.62
    POSITIVE LOGITS
     Firefox
    0.87
     iOS
    0.83
     implementations
    0.81
     firmware
    0.75
     Leopard
    0.75
     conjunction
    0.75
    versions
    0.74
     every
    0.74
     OnePlus
    0.73
     browsers
    0.73
    Activations Density 0.404%

    No Known Activations