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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. 11-RES-JB
    11. 21729
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    Explanations

    mentions of individuals carrying weapons

    oai_token-act-pair · gpt-3.5-turbo

    mentions of weapons, particularly firearms and knives, in the context of criminal activity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    issance
    -0.87
    obyl
    -0.83
    DragonMagazine
    -0.79
    âĹ¼
    -0.77
    asure
    -0.71
    byss
    -0.70
    acle
    -0.69
    onel
    -0.67
    Org
    -0.66
    plementation
    -0.66
    POSITIVE LOGITS
     explosives
    1.23
     knives
    1.22
     handguns
    1.20
     firearms
    1.10
     methamphetamine
    1.09
     guns
    1.06
     handcuffs
    1.06
     scissors
    1.00
     handgun
    1.00
     shotguns
    0.99
    Activations Density 0.247%

    No Known Activations