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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. 7-RES-JB
    6. 1258
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing doubt or lack of information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     towed
    -0.77
    rive
    -0.70
     hire
    -0.65
    ulo
    -0.64
    uga
    -0.64
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.62
     funnel
    -0.62
    killed
    -0.62
     pend
    -0.62
    hirt
    -0.61
    POSITIVE LOGITS
     ABOUT
    1.01
     about
    0.98
     regarding
    0.89
     beforehand
    0.85
     concerning
    0.84
    about
    0.84
     aloud
    0.82
     differently
    0.75
     Arabic
    0.74
    EngineDebug
    0.74
    Activations Density 0.196%

    No Known Activations