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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. 9-RES-JB
    11. 13568
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    Explanations

    mentions of violent acts resulting in casualties

    oai_token-act-pair · gpt-3.5-turbo

    references to casualties and victims of violence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Balt
    -0.70
    Management
    -0.66
    Applic
    -0.65
    Completed
    -0.64
    fecture
    -0.64
    RET
    -0.63
     Regulatory
    -0.62
    WARN
    -0.62
     disclaimer
    -0.62
    idth
    -0.62
    POSITIVE LOGITS
     innocent
    1.05
     unarmed
    1.01
     innoc
    0.97
     indiscrim
    0.96
     fleeing
    0.91
     senseless
    0.90
     peacefully
    0.89
     civilians
    0.87
     hostages
    0.85
     Innocent
    0.83
    Activations Density 0.246%

    No Known Activations