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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. 12430
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    oai_token-act-pair · gpt-3.5-turbo

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    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
     meanwhile
    -0.76
     tide
    -0.73
     gul
    -0.69
     Panzer
    -0.67
     norm
    -0.67
     consolation
    -0.67
     glad
    -0.67
     Tsukuyomi
    -0.66
     likewise
    -0.66
     bubble
    -0.65
    POSITIVE LOGITS
    âĢ¢
    1.67
    âĹı
    1.55
    âĸł
    1.45
    ·
    1.40
    1
    1.26
    âľ
    1.25
    âĻ¦
    1.20
    Firstly
    1.18
    Increased
    1.15
    "âĢ¦
    1.13
    Activations Density 0.121%

    No Known Activations