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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 8239
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    oai_token-act-pair · gpt-3.5-turbo

    negative contractions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     RAD
    -0.76
    çīĪ
    -0.68
     guiActiveUnfocused
    -0.66
     Samar
    -0.62
     scapego
    -0.61
     mosaic
    -0.60
     camer
    -0.60
     Shib
    -0.60
     guiActiveUn
    -0.60
     jug
    -0.59
    POSITIVE LOGITS
    £
    1.15
    ¹
    0.99
    º
    0.95
    ¿
    0.95
    ¼
    0.93
    Ń
    0.91
    İ
    0.91
    ¬
    0.91
    Ķ
    0.90
    ĵ
    0.90
    Activations Density 0.148%

    No Known Activations