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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. 12855
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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
    agues
    -0.73
    Fed
    -0.71
    WARN
    -0.66
    hari
    -0.64
    mails
    -0.64
    mAh
    -0.63
    fighters
    -0.63
     Sins
    -0.62
    warn
    -0.62
    Quotes
    -0.61
    POSITIVE LOGITS
     regards
    1.27
     regard
    1.12
    stood
    0.87
    standing
    0.86
     respect
    0.82
    draw
    0.81
     impunity
    0.80
     ease
    0.79
     homework
    0.77
     dignity
    0.75
    Activations Density 0.065%

    No Known Activations