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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. 9-RES-JB
    11. 5229
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    Explanations

    words related to wars, conflicts, and disasters, especially those involving nuclear activities

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     substitutes
    -0.78
     handles
    -0.77
     trimmed
    -0.77
     pedals
    -0.77
     lou
    -0.77
     assistants
    -0.75
     valued
    -0.75
     buttons
    -0.73
     buddies
    -0.73
     mentors
    -0.73
    POSITIVE LOGITS
     catastrophe
    1.41
     earthquakes
    1.39
     earthquake
    1.39
     outbreak
    1.35
     disasters
    1.33
     massacre
    1.32
     uprising
    1.30
     famine
    1.30
     disaster
    1.30
     massacres
    1.29
    Activations Density 0.628%

    No Known Activations