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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. 6-RES-JB
    11. 11634
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    Explanations

    dates ranging from 2012 to 2017

    oai_token-act-pair · gpt-3.5-turbo

    dates and months associated with years

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    avorite
    -0.84
     tremend
    -0.83
    unal
    -0.79
    ENE
    -0.75
    ailability
    -0.75
     exting
    -0.74
    enei
    -0.74
    artisan
    -0.74
     corrid
    -0.72
    imore
    -0.72
    POSITIVE LOGITS
     UTC
    0.80
     Cum
    0.71
     vom
    0.67
     Drama
    0.66
     Actress
    0.65
     Shelter
    0.64
     Transmission
    0.63
     Checks
    0.63
     ether
    0.62
     Girls
    0.60
    Activations Density 0.041%

    No Known Activations