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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. 10-RES-JB
    6. 21112
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases urging the audience to remain updated or informed

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vernment
    -0.72
    isson
    -0.69
    NetMessage
    -0.69
    ocr
    -0.64
     terminating
    -0.64
     unilaterally
    -0.63
     parting
    -0.62
     expulsion
    -0.61
     downfall
    -0.61
     suppl
    -0.60
    POSITIVE LOGITS
     tuned
    1.30
     classy
    0.92
     alert
    0.87
     informed
    0.87
     Calm
    0.87
     updated
    0.86
     Updated
    0.85
     Alert
    0.85
    Alert
    0.85
     awake
    0.84
    Activations Density 0.023%

    No Known Activations