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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. 8126
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    Explanations

    words related to news headlines

    oai_token-act-pair · gpt-3.5-turbo

    elements related to sensory experiences and social interactions

    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
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    No Comments

    Negative Logits
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.78
    âĸ¬
    -0.62
    REDACTED
    -0.58
    Ü
    -0.57
    âķIJ
    -0.57
    ãĥ´
    -0.57
    auga
    -0.55
    cffffcc
    -0.54
    Þ
    -0.54
    EStreamFrame
    -0.54
    POSITIVE LOGITS
     recommends
    0.50
     yours
    0.50
    Tips
    0.47
     asks
    0.45
    <|endoftext|>
    0.44
     humour
    0.44
     gadgets
    0.44
     favourites
    0.43
     organisations
    0.43
     comedians
    0.43
    Activations Density 1.237%

    No Known Activations