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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. 7-RES-JB
    11. 7950
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    Explanations

    instances where a quantity (such as a number) is greater than a specific threshold, specifically the number "more than 9"

    oai_token-act-pair · gpt-3.5-turbo

    references to quantities that are notably larger than a baseline or norm

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĺħ
    -0.79
     Difference
    -0.77
     Recording
    -0.73
    xtap
    -0.69
     Solution
    -0.66
     Roller
    -0.66
     Shooter
    -0.65
     Trophy
    -0.63
     Receiver
    -0.63
     Prediction
    -0.63
    POSITIVE LOGITS
     than
    1.27
     stringent
    0.94
     importantly
    0.93
     sophisticated
    0.89
    than
    0.89
     broadly
    0.87
     elaborate
    0.87
     closely
    0.86
     complicated
    0.86
     nuanced
    0.83
    Activations Density 0.118%

    No Known Activations