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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. 862
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    Explanations

    words related to safety and precautions

    oai_token-act-pair · gpt-3.5-turbo

    instances of unique punctuation or markers in the text

    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
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    Negative Logits
     predec
    -0.52
     glim
    -0.50
     criminal
    -0.49
     prototyp
    -0.49
     advoc
    -0.48
    ',"
    -0.47
     challeng
    -0.47
     operational
    -0.46
     advis
    -0.46
     biological
    -0.46
    POSITIVE LOGITS
    jpg
    0.99
    blogspot
    0.96
    txt
    0.95
    htm
    0.92
    tumblr
    0.90
    png
    0.88
    gif
    0.87
    wav
    0.86
    html
    0.84
     Originally
    0.81
    Activations Density 0.361%

    No Known Activations