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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. 13376
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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
    dfx
    -0.79
     showc
    -0.76
    rists
    -0.75
    soDeliveryDate
    -0.70
    riet
    -0.68
    faced
    -0.68
    sts
    -0.66
    avorite
    -0.66
    ths
    -0.65
    eways
    -0.64
    POSITIVE LOGITS
     Belg
    1.03
     Netherlands
    1.02
     Bis
    0.98
     Posts
    0.95
     Philippines
    0.95
     United
    0.93
     Austria
    0.91
     Germany
    0.89
     Bulgaria
    0.87
     Slovakia
    0.86
    Activations Density 0.013%

    No Known Activations