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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. 9-RES-JB
    6. 22367
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    Explanations

    network configuration information related to internet addresses and servers

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and technical details, especially related to IP addresses and DNS entries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     streng
    -0.79
     grounding
    -0.78
     behavi
    -0.74
     sustaining
    -0.72
     cutting
    -0.72
     estimating
    -0.70
     driving
    -0.69
     steady
    -0.67
     inqu
    -0.66
     powering
    -0.66
    POSITIVE LOGITS
    gz
    1.14
    76561
    1.02
    sg
    1.01
    edu
    0.99
    wordpress
    0.98
    amazon
    0.95
    bub
    0.92
    html
    0.91
    uni
    0.91
    yahoo
    0.91
    Activations Density 0.074%

    No Known Activations