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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. 20632
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    Explanations

    terms related to specific conditions, requirements, or provisions outlined in documents

    oai_token-act-pair · gpt-3.5-turbo

    terms related to stipulations or conditions in agreements

    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
    Downloadha
    -0.81
     Breath
    -0.68
     Tycoon
    -0.67
     Angry
    -0.67
     Roses
    -0.66
    ãĥīãĥ©ãĤ´ãĥ³
    -0.65
     Randall
    -0.64
     slideshow
    -0.63
     Siri
    -0.63
     spirits
    -0.62
    POSITIVE LOGITS
     stip
    1.28
    endiary
    1.03
    ulum
    1.01
    abo
    0.89
    ulated
    0.89
    ulates
    0.88
    ules
    0.88
    inet
    0.87
    ilit
    0.86
    ula
    0.86
    Activations Density 0.007%

    No Known Activations