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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 16607
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    Explanations

    mentions of law enforcement agencies and legal terms

    oai_token-act-pair · gpt-3.5-turbo

    references to law enforcement or security agencies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ndra
    -0.70
    kun
    -0.69
    owan
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    -0.66
    hua
    -0.66
     ç¥ŀ
    -0.65
    apest
    -0.64
    feat
    -0.64
    POSITIVE LOGITS
     commissioners
    1.05
     Inspect
    1.05
     officers
    1.03
     Commissioner
    1.03
     Inspector
    0.98
     Officers
    0.98
     commissioner
    0.96
     inspector
    0.95
     officer
    0.94
     investigating
    0.93
    Activations Density 0.145%

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