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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. 22741
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    Explanations

    phrases describing a significant amount of effort or activity

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to effort and improvement

    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
     Advertisement
    -0.66
     Peaks
    -0.64
    CHAT
    -0.64
    RAW
    -0.63
     throats
    -0.61
    HQ
    -0.59
     Anarchy
    -0.58
     Scene
    -0.58
    cknow
    -0.58
    eda
    -0.58
    POSITIVE LOGITS
    uable
    0.83
    usercontent
    0.74
    enos
    0.73
    itiveness
    0.70
    ibling
    0.69
     imaginable
    0.68
     mileage
    0.67
     scratching
    0.66
    ificant
    0.66
     fuss
    0.66
    Activations Density 0.733%

    No Known Activations