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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. 0-RES-JB
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    Explanations

    adjectives describing excellence or high quality

    oai_token-act-pair · gpt-3.5-turbo

    adjectives that express high quality or excellence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     exclude
    -0.87
    iatus
    -0.75
     excluded
    -0.75
    ocate
    -0.74
    xit
    -0.71
    ificant
    -0.68
    lihood
    -0.68
     excludes
    -0.67
     exclusion
    -0.66
     Representatives
    -0.66
    POSITIVE LOGITS
     superb
    2.13
     beautifully
    2.07
     brilliantly
    1.99
     exqu
    1.93
     masterpiece
    1.79
     painstaking
    1.73
     perfection
    1.71
     meticulously
    1.71
     exquisite
    1.66
     marvel
    1.62
    Activations Density 0.045%

    No Known Activations