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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. 9-RES-JB
    11. 3777
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Strikes
    -0.78
     Supplemental
    -0.72
     Lent
    -0.67
     Archdemon
    -0.67
     Pumpkin
    -0.67
     Tac
    -0.64
     Nieto
    -0.63
     Entered
    -0.63
     Takeru
    -0.63
     leveling
    -0.63
    POSITIVE LOGITS
    gmail
    1.90
    yahoo
    1.58
    debian
    1.21
    hot
    1.19
    hillary
    1.18
    earth
    1.17
    domain
    1.15
    national
    1.12
    bleacher
    1.12
    daily
    1.10
    Activations Density 0.018%

    No Known Activations