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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. 5080
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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
    Not in Any Lists

    No Comments

    Negative Logits
     Flavoring
    -0.92
    Interstitial
    -0.76
    Bec
    -0.71
    âķIJ
    -0.70
     cour
    -0.70
    ILE
    -0.68
     nurture
    -0.67
    ĪĴ
    -0.67
    Join
    -0.66
     lan
    -0.64
    POSITIVE LOGITS
     predicting
    1.37
     forecasting
    1.33
     underest
    1.26
     overest
    1.24
     forecasts
    1.23
     estimates
    1.18
     estimating
    1.14
     forecast
    1.13
     projections
    1.12
     skewed
    1.12
    Activations Density 0.664%

    No Known Activations