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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. 0-RES-JB
    11. 1749
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    INDEX
    Explanations

    phrases related to learning or teaching lessons

    oai_token-act-pair · gpt-3.5-turbo

    references to lessons or moral teachings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ran
    -0.71
    uid
    -0.69
    jad
    -0.68
     designate
    -0.67
    fo
    -0.66
    onymous
    -0.65
     specify
    -0.64
    eless
    -0.64
    rene
    -0.63
    specified
    -0.59
    POSITIVE LOGITS
     lessons
    3.87
     lesson
    3.69
     Lessons
    2.93
    learning
    1.32
     lectures
    1.28
    Learning
    1.24
     takeaway
    1.22
     instruction
    1.20
     learning
    1.17
     teaching
    1.16
    Activations Density 0.022%

    No Known Activations