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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 10375
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    Explanations

    detailed descriptions or stories related to real-life events or situations

    oai_token-act-pair · gpt-3.5-turbo

    end-of-sentence punctuation marks

    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
    Not in Any Lists

    No Comments

    Negative Logits
     oun
    -0.75
    icz
    -0.71
     mosqu
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     decom
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     metic
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     criminal
    -0.64
    ascus
    -0.63
     freight
    -0.62
     electr
    -0.62
     sour
    -0.61
    POSITIVE LOGITS
    txt
    0.98
     Especially
    0.93
     Appears
    0.91
    +)
    0.89
    gov
    0.86
    jpg
    0.84
     Lots
    0.84
     Surely
    0.82
    org
    0.81
     Fortunately
    0.81
    Activations Density 0.581%

    No Known Activations