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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. 5-RES-JB
    6. 13235
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    Explanations

    references to specific words related to hatches or hatching

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the term "hatch" and its variations in the context of legislative or procedural discussions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    utical
    -0.79
    ocal
    -0.74
    oaded
    -0.73
    utive
    -0.71
    oad
    -0.71
    utic
    -0.70
    olutions
    -0.69
    acea
    -0.68
    ibraries
    -0.68
    otti
    -0.68
    POSITIVE LOGITS
    nings
    0.98
    smanship
    0.93
    lings
    0.91
     Hatch
    0.87
    aday
    0.81
    ening
    0.79
    ners
    0.77
    sight
    0.74
     Reincarn
    0.74
     hatch
    0.74
    Activations Density 0.035%

    No Known Activations