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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. 4-RES-JB
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    Explanations

    references to a specific company, Lockheed, and potentially related phrases or contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Lockheed and associated entities in the context of military or aerospace topics

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

    No Comments

    Negative Logits
    Ti
    -0.73
    Interstitial
    -0.71
    older
    -0.70
    reddits
    -0.70
    PsyNetMessage
    -0.69
    Torrent
    -0.68
    reviewed
    -0.65
    ItemThumbnailImage
    -0.64
    apest
    -0.64
     Debor
    -0.63
    POSITIVE LOGITS
    heed
    1.18
     Martin
    0.94
     Aircraft
    0.86
    ament
    0.83
    Mobil
    0.77
    IGHT
    0.77
    IGHTS
    0.73
    itude
    0.72
    endon
    0.72
     Dynamics
    0.72
    Activations Density 0.011%

    No Known Activations