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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. 1-RES-JB
    11. 3716
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    INDEX
    Explanations

    lessons or teachings mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    phrases that refer to lessons learned

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    berman
    -0.70
    conn
    -0.68
    eb
    -0.67
    urses
    -0.65
     flush
    -0.64
    ractive
    -0.64
    merce
    -0.64
     filing
    -0.64
    secut
    -0.63
     occupancy
    -0.63
    POSITIVE LOGITS
     lessons
    1.38
     Learned
    1.21
     Lessons
    1.17
     lesson
    1.07
    learn
    0.96
    Lear
    0.93
    Learning
    0.88
     learnt
    0.88
    é¾įå¥ij士
    0.83
     Teach
    0.82
    Activations Density 0.007%

    No Known Activations