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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    references to military fighter jets

    oai_token-act-pair · gpt-3.5-turbo

    references to military fighter jets

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ologies
    -0.75
    ological
    -0.73
    ologically
    -0.73
     NRS
    -0.72
     Westminster
    -0.70
    dates
    -0.69
    ology
    -0.69
    andre
    -0.68
    ennial
    -0.68
    ask
    -0.65
    POSITIVE LOGITS
     jets
    1.00
     jet
    0.92
     Typhoon
    0.89
     fighter
    0.88
     fighters
    0.87
    fighters
    0.82
     pilots
    0.81
     Fighters
    0.79
    selage
    0.78
     Fighter
    0.78
    Activations Density 0.016%

    No Known Activations