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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. 1-RES-JB
    11. 19630
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    Explanations

    instances where the word "enroll" or its variations are mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    terms related to enrolling in educational programs or courses

    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
    interrupted
    -0.60
    esp
    -0.59
     vengeance
    -0.58
    Pod
    -0.58
    quick
    -0.58
     naturally
    -0.58
     Bees
    -0.57
    forward
    -0.57
     Respect
    -0.57
     Domestic
    -0.56
    POSITIVE LOGITS
    uates
    1.29
     enrollment
    1.21
     enrol
    1.18
    rollment
    1.17
     enroll
    1.12
    lees
    1.10
     enrolled
    1.04
    ijah
    0.89
    uating
    0.83
    uations
    0.82
    Activations Density 0.011%

    No Known Activations