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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. 6-RES-JB
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    Explanations

    mentions of law enforcement officers and their actions

    oai_token-act-pair · gpt-3.5-turbo

    mentions of law enforcement personnel

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Campaign
    -0.79
    FORE
    -0.79
    ¥µ
    -0.72
    Wallet
    -0.71
    ebook
    -0.69
    Virgin
    -0.69
    ãĤ¦
    -0.69
    Brazil
    -0.69
    ãĥ¼ãĥ³
    -0.68
    ãĥĥ
    -0.68
    POSITIVE LOGITS
     stationed
    1.05
     dispatcher
    1.03
     patrolling
    1.00
    geant
    0.98
     deputies
    0.94
     officers
    0.94
     sergeant
    0.91
     patrol
    0.90
     Dispatch
    0.87
     troopers
    0.85
    Activations Density 0.086%

    No Known Activations