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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. 10-RES-JB
    11. 1123
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    Explanations

    phrases related to accidents, incidents, and consequences

    oai_token-act-pair · gpt-3.5-turbo

    references to accidents and their consequences

    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
    Tea
    -0.95
    endas
    -0.79
    galitarian
    -0.76
    Latin
    -0.74
    FactoryReloaded
    -0.73
     Patreon
    -0.73
    izons
    -0.72
    arag
    -0.72
     Tea
    -0.71
    eneg
    -0.71
    POSITIVE LOGITS
     accidents
    1.94
     crashes
    1.70
     accident
    1.70
     fatalities
    1.68
     crash
    1.56
     collisions
    1.53
     injuries
    1.52
     collision
    1.48
     negligence
    1.45
     fatal
    1.39
    Activations Density 0.622%

    No Known Activations