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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 714
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    INDEX
    Explanations

    dates or months mentioned within texts

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of "last" and "we" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    text markers or tokens signaling the beginning of a news or reporting context, like "Last", "An", "We", "What".

    oai_token-act-pair · claude-3-5-haiku-20241022Triggered by @cedarren
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     thereafter
    -0.70
     thereof
    -0.65
     respons
    -0.62
    pled
    -0.62
     versa
    -0.61
    _.
    -0.60
     outwe
    -0.59
     comprom
    -0.59
     thereto
    -0.59
     afterward
    -0.59
    POSITIVE LOGITS
     Expand
    0.85
     Introduction
    0.79
     Vegan
    0.77
     SHARES
    0.77
     Summary
    0.76
     Calculator
    0.75
     Transcript
    0.74
     Answer
    0.73
     Definition
    0.72
     Finder
    0.71
    Activations Density 0.347%

    No Known Activations