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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. 12-RES-JB
    11. 2770
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    Explanations

    phrases related to emergency situations and law enforcement

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    references to law enforcement and emergency response situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    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
    eat
    -0.75
    erenn
    -0.73
    Ö¼
    -0.71
    Thumbnail
    -0.71
    verning
    -0.69
    neath
    -0.69
    ardless
    -0.68
    Posted
    -0.68
     âĶľâĶĢâĶĢ
    -0.67
    spoken
    -0.65
    POSITIVE LOGITS
     bluff
    1.61
     hotline
    1.32
     shots
    1.02
     911
    1.01
     ambulance
    0.98
     attention
    0.96
     reinforcements
    0.90
     dispatcher
    0.88
     999
    0.85
     emergencies
    0.81
    Activations Density 0.135%

    No Known Activations