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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. 12-RES-JB
    11. 3930
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    Explanations

    statements or opinions with emphatic punctuation (such as exclamation marks or question marks)

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    sentences that present opinions or conclusions about various subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    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
     tremend
    -1.81
     carbohyd
    -1.67
     satell
    -1.66
     challeng
    -1.64
     millenn
    -1.63
    ¥ŀ
    -1.60
     volunte
    -1.59
     tradem
    -1.56
    everal
    -1.51
     gobl
    -1.51
    POSITIVE LOGITS
     Moreover
    1.37
     Likewise
    1.36
     Hence
    1.34
     Furthermore
    1.33
    <|endoftext|>
    1.30
     Worse
    1.29
     Similarly
    1.29
     Indeed
    1.29
     Plus
    1.28
     Granted
    1.27
    Activations Density 0.647%

    No Known Activations