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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
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    Explanations

    phrases related to a specific object named "Dragon"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the "Dragon" franchise, specifically referring to "Dragon Quest" and "Dragon Ball" games and media

    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
    EMS
    -0.81
    ablishment
    -0.72
    akeru
    -0.71
    ALS
    -0.70
    orsche
    -0.69
     Wink
    -0.69
    igating
    -0.67
    chell
    -0.67
    ablished
    -0.67
    oci
    -0.66
    POSITIVE LOGITS
    fly
    1.13
    Dragon
    1.08
    flies
    0.96
    Fly
    0.91
    hawk
    0.88
    bone
    0.86
     Dragon
    0.85
     dragon
    0.84
     Slayer
    0.84
     dragons
    0.84
    Activations Density 0.006%

    No Known Activations