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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 19690
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    INDEX
    Explanations

    verbs indicating causation or influence

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate causality or consequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    quickShipAvailable
    -0.83
     Enh
    -0.70
    anooga
    -0.70
     fortun
    -0.65
     FRI
    -0.63
    Apps
    -0.61
    FX
    -0.60
    soType
    -0.60
    tons
    -0.59
     Bene
    -0.59
    POSITIVE LOGITS
     stumble
    1.02
     pursue
    0.90
     confront
    0.89
     ponder
    0.88
     take
    0.88
     become
    0.87
     seek
    0.87
     reach
    0.86
    iling
    0.85
     conclude
    0.85
    Activations Density 0.143%

    No Known Activations