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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. 2-RES-JB
    11. 21612
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    Explanations

    phrases mentioning a metaphorical or literal "lesson."

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to important lessons learned

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bably
    -0.88
    omin
    -0.76
     radiant
    -0.72
    ractive
    -0.72
    erenn
    -0.71
    berman
    -0.71
     tighter
    -0.70
    ankind
    -0.70
    emporary
    -0.70
    conn
    -0.70
    POSITIVE LOGITS
     lesson
    1.11
    Lear
    1.09
     Learned
    1.06
     lessons
    1.03
     Teach
    0.97
     Lear
    0.85
    ĸļ
    0.83
     Lessons
    0.83
     Instructor
    0.79
    Learning
    0.78
    Activations Density 0.008%

    No Known Activations