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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. 3-RES-JB
    11. 17001
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    INDEX
    Explanations

    instances where some form of knowledge or skills are being taught

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to education and teaching

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    foundland
    -0.73
    itars
    -0.67
     proportional
    -0.66
    ilings
    -0.63
    heric
    -0.63
    76561
    -0.63
    atos
    -0.61
    ouls
    -0.61
    axy
    -0.61
    osponsors
    -0.60
    POSITIVE LOGITS
     taught
    0.94
    yout
    0.93
    Ŀ
    0.84
     teach
    0.79
    llor
    0.79
     Teach
    0.78
     Teaching
    0.78
     teaching
    0.76
    ingly
    0.73
    IJ
    0.73
    Activations Density 0.037%

    No Known Activations