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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 0-RES-JB
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    Explanations

    references to law enforcement officers, specifically troopers

    oai_token-act-pair · gpt-3.5-turbo

    terms related to law enforcement and specific trooper references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nai
    -0.74
    sum
    -0.73
    icago
    -0.72
     BDS
    -0.69
    donald
    -0.66
    ega
    -0.64
    sel
    -0.63
     Argentine
    -0.62
     neighbourhood
    -0.61
    Ell
    -0.61
    POSITIVE LOGITS
     trooper
    3.46
     Trooper
    3.02
     troopers
    2.91
    ogan
    1.71
    Tro
    1.15
     legislator
    1.08
     colonel
    1.01
    opers
    1.00
     Route
    0.94
    adoes
    0.94
    Activations Density 0.037%

    No Known Activations