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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

    mentions of apocalyptic or doomsday scenarios

    oai_token-act-pair · gpt-3.5-turbo

    references to doomsday and apocalyptic themes

    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
    alties
    -1.01
    SEA
    -0.89
    ª
    -0.81
    oyal
    -0.81
    rity
    -0.80
    Ģ
    -0.79
    tesy
    -0.79
    ī
    -0.78
    ilage
    -0.77
    itu
    -0.76
    POSITIVE LOGITS
    ocalypse
    1.23
     apocalypse
    1.12
     Apocalypse
    1.11
     scenarios
    1.05
    ocalyptic
    1.04
     Armageddon
    1.03
     Doomsday
    1.01
     scenario
    1.00
     doom
    0.99
    bringer
    0.97
    Activations Density 0.036%

    No Known Activations