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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. 11-RES-JB
    11. 5199
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    Explanations

    words related to cost reduction, efficiency improvement, and economic benefits

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ITNESS
    -0.59
    interstitial
    -0.59
     provisional
    -0.58
    pired
    -0.57
     creed
    -0.55
    grand
    -0.54
     embargo
    -0.54
     mull
    -0.54
     unanimous
    -0.53
     Prophe
    -0.53
    POSITIVE LOGITS
     tremendously
    1.16
     considerably
    1.15
     dramatically
    1.12
     significantly
    1.06
     exponentially
    1.04
     drastically
    1.02
     immensely
    0.98
     by
    0.97
     enormously
    0.96
     substantially
    0.92
    Activations Density 0.222%

    No Known Activations