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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. 9-RES-JB
    11. 23154
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    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "data."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ModLoader
    -0.81
     Oath
    -0.73
     Pis
    -0.67
    lain
    -0.66
    aska
    -0.65
     Reeves
    -0.65
     Ascend
    -0.65
     Nicarag
    -0.64
    ovie
    -0.64
     4090
    -0.62
    POSITIVE LOGITS
    flow
    1.00
     recorder
    0.97
    frame
    0.90
     analytics
    0.90
     collection
    0.87
    iologist
    0.87
    Transfer
    0.82
    frames
    0.81
     viz
    0.79
    flows
    0.79
    Activations Density 0.034%

    No Known Activations