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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. 16223
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    Explanations

    dates and times mentioned in text

    oai_token-act-pair · gpt-3.5-turbo

    specific dates and times

    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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    Negative Logits
     resear
    -0.66
    xus
    -0.65
    otropic
    -0.65
    uctor
    -0.65
     smugg
    -0.64
     deserted
    -0.61
     dossier
    -0.60
    farious
    -0.60
     characterization
    -0.59
     pedigree
    -0.59
    POSITIVE LOGITS
    GMT
    0.77
     Noon
    0.76
    th
    0.76
    stice
    0.75
    Tickets
    0.74
     noon
    0.72
    AMI
    0.68
    REM
    0.68
    thouse
    0.68
     UTC
    0.65
    Activations Density 0.083%

    No Known Activations