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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. 965
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    sentences ending with a period

    oai_token-act-pair · gpt-3.5-turbo

    specific sentence endings and punctuation marks

    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
    ascus
    -0.81
     painfully
    -0.80
     deserved
    -0.78
     defiant
    -0.77
     millenn
    -0.75
     outwe
    -0.74
     affili
    -0.73
     scourge
    -0.73
     appalling
    -0.73
     savage
    -0.73
    POSITIVE LOGITS
     Each
    1.73
     Depending
    1.70
     Therefore
    1.66
     Typically
    1.66
     Thus
    1.65
     Then
    1.60
     Usually
    1.60
     Alternatively
    1.57
     Normally
    1.56
     Suppose
    1.55
    Activations Density 0.274%

    No Known Activations