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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. 7-RES-JB
    11. 9463
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    Explanations

    words related to law enforcement activities, especially related to patrolling

    oai_token-act-pair · gpt-3.5-turbo

    references to patrol activities or vehicles

    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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    No Comments

    Negative Logits
    hur
    -0.69
     nerv
    -0.66
     inflamm
    -0.66
     toast
    -0.65
    akespeare
    -0.63
     mortg
    -0.63
     dizz
    -0.62
    quickShipAvailable
    -0.62
    bestos
    -0.62
     Jinn
    -0.62
    POSITIVE LOGITS
     patrol
    1.09
     patrols
    1.02
    men
    0.94
    man
    0.91
     Patrol
    0.88
    andowski
    0.87
     patrolling
    0.85
     duty
    0.83
     Officers
    0.80
     officer
    0.78
    Activations Density 0.022%

    No Known Activations