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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. 8-RES-JB
    11. 12582
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    Explanations

    words related to significant quantities or intensities

    oai_token-act-pair · gpt-3.5-turbo

    words associated with significant impact or intensity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    jab
    -0.57
     widow
    -0.55
    Reference
    -0.52
    xton
    -0.52
     Strait
    -0.52
    uve
    -0.51
    cell
    -0.51
    cells
    -0.51
     Nare
    -0.51
     Shelter
    -0.50
    POSITIVE LOGITS
    ï¸ı
    0.77
    gie
    0.68
    emonic
    0.68
    INGTON
    0.66
    arious
    0.66
    aukee
    0.64
    wx
    0.63
    yssey
    0.62
    advertisement
    0.62
    entimes
    0.61
    Activations Density 0.412%

    No Known Activations