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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. 3-RES-JB
    11. 4036
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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 @ 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
    hips
    -0.75
    terday
    -0.74
    avorite
    -0.72
    aution
    -0.71
    uates
    -0.69
    ibly
    -0.67
    paces
    -0.66
    hip
    -0.66
    etheless
    -0.66
    ammed
    -0.66
    POSITIVE LOGITS
     Fighters
    1.04
     Room
    1.03
     Runner
    1.02
     Machines
    0.97
     Machine
    0.95
     Guys
    0.94
     Facts
    0.93
     Lines
    0.92
    Style
    0.92
     Generation
    0.91
    Activations Density 0.065%

    No Known Activations