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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. 1603
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    Explanations

    numerical values with the word "roughly" preceding them

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate approximate numerical values or estimates

    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
    Not in Any Lists

    No Comments

    Negative Logits
     enthus
    -0.63
    çĭ
    -0.59
    Reviewed
    -0.58
    actic
    -0.58
    oli
    -0.56
     Definitely
    -0.55
     Lots
    -0.54
    ieu
    -0.54
    arella
    -0.53
    Tools
    -0.53
    POSITIVE LOGITS
     equivalent
    0.99
     equal
    0.96
     analogous
    0.87
    equal
    0.81
     9000
    0.80
     eighty
    0.80
     speaking
    0.79
     8000
    0.78
     820
    0.77
     780
    0.76
    Activations Density 0.037%

    No Known Activations