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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 17521
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    Explanations

    locations and actors involved in acts of violence or conflict

    oai_token-act-pair · gpt-3.5-turbo

    geographic locations and entities associated with conflict and terrorism

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Wide
    -0.62
    âĶĢâĶĢâĶĢâĶĢ
    -0.62
    tera
    -0.61
    FINE
    -0.61
    ificent
    -0.60
    ermanent
    -0.60
    使
    -0.60
    DEV
    -0.60
    Standard
    -0.60
     Alphabet
    -0.59
    POSITIVE LOGITS
     targets
    0.87
     intern
    0.83
     unarmed
    0.75
     invaders
    0.72
     unjust
    0.68
     protestors
    0.68
     dur
    0.66
     unprepared
    0.66
     tyres
    0.66
     temples
    0.65
    Activations Density 0.623%

    No Known Activations