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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. 22673
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    Explanations

    time-related words and phrases

    oai_token-act-pair · gpt-3.5-turbo

    temporal references or indicators of time

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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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    No Comments

    Negative Logits
     IOC
    -0.66
     Nanto
    -0.63
    ariat
    -0.60
    ERY
    -0.59
     Dip
    -0.59
     Mariners
    -0.57
     Payton
    -0.57
     Aware
    -0.57
     CMS
    -0.55
    yout
    -0.54
    POSITIVE LOGITS
     viz
    0.86
    :/
    0.77
    :(
    0.77
    ":
    0.72
    çļĦ
    0.69
     regarding
    0.69
    âĿ
    0.68
    ?:
    0.67
    _.
    0.66
    NULL
    0.65
    Activations Density 0.258%

    No Known Activations