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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. 11-RES-JB
    11. 227
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    Explanations

    dates in a specific format (month followed by a day, with potential years)

    oai_token-act-pair · gpt-3.5-turbo

    dates and specific time indicators

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    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
     behavi
    -0.65
     Palestin
    -0.65
     cumbers
    -0.60
     heartbeat
    -0.57
     careless
    -0.57
     prolifer
    -0.56
     tremend
    -0.55
     basket
    -0.54
     practition
    -0.54
    aditional
    -0.54
    POSITIVE LOGITS
     03
    1.01
     06
    0.99
     04
    0.99
     05
    0.98
     02
    0.98
     07
    0.96
     08
    0.95
     09
    0.92
     01
    0.91
     29
    0.77
    Activations Density 0.054%

    No Known Activations