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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. 16434
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    Explanations

    references to Texas A&M University

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Texas A&M University and its mascots

    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
     Rowling
    -0.69
     giveaway
    -0.66
     sidel
    -0.64
    poke
    -0.58
     Philippe
    -0.58
     Chomsky
    -0.57
    ItemTracker
    -0.57
     globalization
    -0.55
     testim
    -0.55
     cottage
    -0.54
    POSITIVE LOGITS
    &
    1.00
    TX
    0.70
    tex
    0.67
    GE
    0.66
    notation
    0.65
    emen
    0.64
    IRT
    0.64
    irted
    0.63
    ult
    0.63
    "))
    0.62
    Activations Density 0.039%

    No Known Activations