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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. 0-RES-JB
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    phrases related to law enforcement activities

    oai_token-act-pair · gpt-3.5-turbo

    references to law enforcement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Mem
    -0.66
    nova
    -0.65
    hesis
    -0.64
    qua
    -0.64
    kk
    -0.64
     sacrificed
    -0.63
     gorge
    -0.62
     Plot
    -0.62
     Idol
    -0.62
     Fib
    -0.61
    POSITIVE LOGITS
     enforcement
    3.65
    enforcement
    2.80
     Enforcement
    2.69
     enforcing
    2.10
     enforce
    1.92
     enforced
    1.63
     policing
    1.63
     compliance
    1.52
     prosecutions
    1.45
     violations
    1.36
    Activations Density 0.018%

    No Known Activations