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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 18707
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    Explanations

    verbs related to teaching or education

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "teach" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     sidx
    -0.82
    reens
    -0.70
    ablished
    -0.68
     Ports
    -0.67
    76561
    -0.66
    tar
    -0.66
    axy
    -0.65
    xon
    -0.65
    FTWARE
    -0.65
    ilings
    -0.63
    POSITIVE LOGITS
    girls
    0.87
     kindergarten
    0.86
     kids
    0.86
     students
    0.85
    children
    0.85
     curriculum
    0.84
     undergrad
    0.84
    ingly
    0.84
    yout
    0.80
     lessons
    0.78
    Activations Density 0.045%

    No Known Activations