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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 firearms-related terms and gun control advocacy

    oai_token-act-pair · gpt-3.5-turbo

    references to guns and gun control issues

    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
     Atmosp
    -0.77
    eff
    -0.76
    hap
    -0.75
    ional
    -0.72
     Chrys
    -0.72
    hiba
    -0.70
     Archdemon
    -0.70
    zzo
    -0.69
    IONS
    -0.68
     Period
    -0.68
    POSITIVE LOGITS
    powder
    1.21
     guns
    1.13
     gun
    1.02
     firearms
    0.97
     handguns
    0.96
     violence
    0.94
     traffickers
    0.90
     pistols
    0.89
     ammunition
    0.87
     firearm
    0.86
    Activations Density 0.025%

    No Known Activations