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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. 8-RES-JB
    11. 12476
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    INDEX
    Explanations

    numerical values mixed with text and specific conventions like parentheses

    oai_token-act-pair · gpt-3.5-turbo

    statistical comparisons and related numerical data typically found in research studies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ongs
    -0.66
    adata
    -0.65
    angible
    -0.65
     Ess
    -0.63
    ongh
    -0.62
    ntil
    -0.60
    vine
    -0.60
     sund
    -0.59
     bount
    -0.59
    jet
    -0.58
    POSITIVE LOGITS
     ±
    1.07
     âī¥
    0.94
     âĪ¼
    0.92
     âī¤
    0.84
    rontal
    0.83
    ±
    0.81
     (âĪĴ
    0.81
     kcal
    0.80
    %).
    0.78
     +/-
    0.77
    Activations Density 0.166%

    No Known Activations