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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. 4-RES-JB
    11. 9754
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    Explanations

    phrases related to enrolling in educational institutions

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "enroll" and its variations

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

    No Comments

    Negative Logits
     prevailed
    -0.65
     unchecked
    -0.64
     prevail
    -0.64
    eric
    -0.59
     vengeance
    -0.58
     Orbital
    -0.57
    esp
    -0.57
     Wim
    -0.57
    interrupted
    -0.56
     geopolitical
    -0.56
    POSITIVE LOGITS
    uates
    1.16
    rollment
    1.08
    lees
    1.01
     enrollment
    0.93
     enroll
    0.92
    ments
    0.91
    untarily
    0.82
     enrol
    0.80
     enrolled
    0.80
     Loans
    0.76
    Activations Density 0.012%

    No Known Activations