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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. 1-RES-JB
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    Explanations

    terms related to network protocols, especially those containing 'TP'

    oai_token-act-pair · gpt-3.5-turbo

    references to technical protocols and terms related to networking

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hold
    -0.89
    taboola
    -0.82
    Interstitial
    -0.77
     UEFA
    -0.75
    66666666
    -0.73
    âĸ¬
    -0.70
    gra
    -0.70
     ãĤ
    -0.68
    âĸ¬âĸ¬
    -0.66
     teeth
    -0.65
    POSITIVE LOGITS
    TP
    1.24
    ython
    1.05
    WD
    0.98
    rint
    0.98
    olitics
    0.96
    ocalypse
    0.95
    ACK
    0.94
    ategory
    0.91
    avascript
    0.90
    ypes
    0.90
    Activations Density 0.006%

    No Known Activations