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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. 11-RES-JB
    11. 14112
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    Explanations

    actions or instructions related to cleaning or maintenance

    oai_token-act-pair · gpt-3.5-turbo

    actions related to cleaning and preparation processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ITNESS
    -0.67
     UA
    -0.62
     pestic
    -0.61
    SPONSORED
    -0.60
    interstitial
    -0.60
    ¬¼
    -0.59
     solicitation
    -0.59
     compulsion
    -0.58
     Regulatory
    -0.58
     Ranking
    -0.57
    POSITIVE LOGITS
     thoroughly
    1.10
     accordingly
    1.01
     beforehand
    1.01
     manually
    1.00
     separately
    0.92
     appropriately
    0.91
     meticulously
    0.90
     clean
    0.89
     horizontally
    0.87
     properly
    0.86
    Activations Density 0.291%

    No Known Activations