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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 1-RES-JB
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    Explanations

    mentions of the word "lunch"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "lunch" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ministry
    -0.65
    verett
    -0.62
    ebook
    -0.61
     aquarium
    -0.61
    tnc
    -0.60
    mberg
    -0.60
    FW
    -0.60
    ns
    -0.60
    visual
    -0.59
    Reviewer
    -0.59
    POSITIVE LOGITS
    unch
    1.05
    atters
    0.87
    atoes
    0.87
     GOODMAN
    0.80
     Tanz
    0.78
    UNCH
    0.76
    aneers
    0.76
    osate
    0.75
    aku
    0.75
    halla
    0.74
    Activations Density 0.007%

    No Known Activations