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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. 0-RES-JB
    11. 7888
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    Explanations

    instances of the word "welcome" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "welcome"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cart
    -0.68
    manufact
    -0.66
    ument
    -0.64
    writers
    -0.64
    ipl
    -0.63
    agu
    -0.63
     Ir
    -0.59
    formation
    -0.59
    ^{
    -0.59
    loss
    -0.59
    POSITIVE LOGITS
     welcome
    4.23
     welcomed
    2.38
     Welcome
    2.16
     welcomes
    2.00
    elcome
    1.90
     welcoming
    1.71
    Welcome
    1.66
     greet
    1.48
     unwelcome
    1.47
     congratulations
    1.28
    Activations Density 0.015%

    No Known Activations