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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. 3-RES-JB
    6. 10945
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    Explanations

    words related to clothing

    oai_token-act-pair · gpt-3.5-turbo

    references to "top" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     warr
    -0.77
    ña
    -0.65
    riages
    -0.64
     consent
    -0.63
    ãĥ£
    -0.61
     Arri
    -0.61
     discern
    -0.60
    arbon
    -0.60
     Hurricanes
    -0.59
    itizen
    -0.59
    POSITIVE LOGITS
    top
    1.19
    tops
    1.03
    most
    0.95
    TOP
    0.95
    bottom
    0.93
    ronics
    0.90
    mast
    0.88
    ICS
    0.88
    ography
    0.88
    ology
    0.86
    Activations Density 0.010%

    No Known Activations