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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. 11-RES-JB
    11. 13354
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    Explanations

    words related to emergencies, such as 'emergency', 'evacuation', 'rescue', and 'emergency items'

    oai_token-act-pair · gpt-3.5-turbo

    references to emergency preparedness and response

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gemony
    -0.86
    galitarian
    -0.79
    retty
    -0.78
    osexual
    -0.77
    olkien
    -0.72
    roth
    -0.71
     splend
    -0.71
     adultery
    -0.70
    vertis
    -0.70
     Playboy
    -0.69
    POSITIVE LOGITS
     paramedics
    1.89
    Emergency
    1.86
     emergency
    1.86
     EMS
    1.85
     Emergency
    1.80
     ambulance
    1.74
     paramed
    1.65
     emergencies
    1.60
     responders
    1.58
     CPR
    1.53
    Activations Density 0.551%

    No Known Activations