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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. 2235
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    Explanations

    references to historical and iconic symbols

    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
    _.
    -0.86
    *.
    -0.80
     ;)
    -0.79
     behav
    -0.75
    sic
    -0.73
    .*
    -0.73
    +.
    -0.69
    ļéĨĴ
    -0.69
    >.
    -0.69
    tml
    -0.67
    POSITIVE LOGITS
     Hearthstone
    0.65
     NASCAR
    0.62
     Canaver
    0.62
     Hillary
    0.60
     Pokémon
    0.60
     Donald
    0.57
     Wenger
    0.57
     astronomers
    0.56
     Guardiola
    0.55
     Orioles
    0.55
    Activations Density 2.177%

    No Known Activations