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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 1-RES-JB
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    Explanations

    references to unmanned aerial vehicles (drones)

    oai_token-act-pair · gpt-3.5-turbo

    references to drones and their usage in various contexts

    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
     Doyle
    -0.78
    Account
    -0.76
    Leader
    -0.75
    OA
    -0.72
    ãĥł
    -0.72
     Rite
    -0.71
    ohyd
    -0.68
    orie
    -0.67
     Shore
    -0.67
     Cumber
    -0.66
    POSITIVE LOGITS
     drones
    1.38
     drone
    1.22
     buzzing
    1.11
    rones
    0.98
     helic
    0.92
    dropping
    0.88
     unmanned
    0.86
     flying
    0.86
    etheless
    0.85
     lapt
    0.84
    Activations Density 0.005%

    No Known Activations