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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. 2660
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    Explanations

    dates in the format month-day with high activations being found in the 7th and 8th positions

    oai_token-act-pair · gpt-3.5-turbo

    dates and numerical references within the text

    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
     eleph
    -0.88
     exha
    -0.76
     pione
    -0.75
     metic
    -0.73
    senal
    -0.73
    aditional
    -0.73
     exting
    -0.73
    ensical
    -0.72
     notor
    -0.72
     councill
    -0.69
    POSITIVE LOGITS
    å¹
    0.84
    09
    0.81
    01
    0.80
    "]=>
    0.80
    20439
    0.79
    04
    0.79
    03
    0.79
    -
    0.78
    \/
    0.77
    ember
    0.77
    Activations Density 0.035%

    No Known Activations