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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 0-RES-JB
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    Explanations

    specifically the word "drone" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to drones and their operations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Stef
    -0.74
    assium
    -0.73
     Angelo
    -0.73
     Lup
    -0.72
     Ake
    -0.71
     âĹ
    -0.70
     Appearance
    -0.69
    Italian
    -0.69
     Sug
    -0.69
    ames
    -0.69
    POSITIVE LOGITS
     drone
    3.81
     drones
    3.36
     Drone
    3.00
    rones
    1.99
     unmanned
    1.92
     Predator
    1.48
     helicopter
    1.34
     GoPro
    1.32
     droid
    1.27
     robotics
    1.26
    Activations Density 0.022%

    No Known Activations