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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. 10-RES-JB
    6. 240
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    worms
    -0.95
    binding
    -0.75
     reciproc
    -0.74
     restraints
    -0.70
    ciplinary
    -0.70
    iors
    -0.70
     weaker
    -0.68
    entimes
    -0.68
     weakest
    -0.67
     controls
    -0.67
    POSITIVE LOGITS
     FOX
    1.09
     SPORTS
    0.97
     Kyle
    0.96
     Jonathan
    0.96
     Lauren
    0.95
     Katie
    0.94
     Dave
    0.94
     Shaun
    0.92
     Laura
    0.92
     Matt
    0.91
    Activations Density 0.018%

    No Known Activations