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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. 19587
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    Explanations

    the pattern "âĢ"

    oai_token-act-pair · gpt-3.5-turbo

    repeated patterns or symbols

    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
    Not in Any Lists

    No Comments

    Negative Logits
    issan
    -0.65
    ItemThumbnailImage
    -0.63
     Skydragon
    -0.63
     Kraken
    -0.60
     distribution
    -0.58
     Manhattan
    -0.58
     Kenyan
    -0.58
     infringing
    -0.57
    anwhile
    -0.57
     Oracle
    -0.57
    POSITIVE LOGITS
    ¬
    1.09
    ymes
    1.05
    Ń
    0.98
    ¿
    0.96
    º
    0.95
    ¦
    0.92
    ı
    0.92
    ľ
    0.91
    ¢
    0.90
    ±
    0.90
    Activations Density 0.186%

    No Known Activations