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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. 16112
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    INDEX
    Explanations

    instances where a lesson or an important point is being discussed or learned

    oai_token-act-pair · gpt-3.5-turbo

    references to lessons learned or moral teachings

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    bably
    -0.77
    berman
    -0.70
    ractive
    -0.69
    conn
    -0.66
     tighter
    -0.66
     tightly
    -0.65
    omin
    -0.65
    chairs
    -0.64
    ecided
    -0.63
     occupancy
    -0.63
    POSITIVE LOGITS
     Learned
    1.15
    Lear
    1.11
     lessons
    1.09
     lesson
    1.04
     Teach
    1.01
     Lessons
    0.92
    learn
    0.83
     taught
    0.81
    ãĤ¼ãĤ¦ãĤ¹
    0.80
     Lear
    0.79
    Activations Density 0.016%

    No Known Activations