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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. 10-RES-JB
    11. 4710
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    Explanations

    words related to negative impacts or damage

    oai_token-act-pair · gpt-3.5-turbo

    negative descriptors related to degradation or deterioration

    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
    ITNESS
    -0.69
    OC
    -0.67
    OTOS
    -0.66
    oyer
    -0.63
    orders
    -0.63
    itzer
    -0.63
    essage
    -0.62
    ouf
    -0.62
    iola
    -0.61
    :{
    -0.60
    POSITIVE LOGITS
     by
    1.29
     BY
    1.07
    by
    1.00
     By
    0.94
    By
    0.89
    igious
    0.86
    adoes
    0.85
     aback
    0.83
     beyond
    0.83
     anew
    0.82
    Activations Density 0.198%

    No Known Activations