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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. 1-RES-JB
    11. 2690
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    Explanations

    references to drone-related activities or events

    oai_token-act-pair · gpt-3.5-turbo

    references to drones and drone-related activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orie
    -0.77
    ore
    -0.73
    anti
    -0.69
    ohyd
    -0.69
    tale
    -0.68
     Doyle
    -0.68
     Digest
    -0.67
    end
    -0.67
    ori
    -0.66
    esley
    -0.66
    POSITIVE LOGITS
     drone
    1.58
     drones
    1.36
     Drone
    1.08
     buzzing
    1.02
     pilots
    0.84
     commuting
    0.83
     bee
    0.81
     aircraft
    0.80
     swarm
    0.80
     unmanned
    0.79
    Activations Density 0.009%

    No Known Activations