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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. 4-RES-JB
    11. 16664
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    Explanations

    terms related to wireless internet connections, specifically focusing on "hotspots"

    oai_token-act-pair · gpt-3.5-turbo

    references to "hotspots," typically in a geographical or contextual sense

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

    No Comments

    Negative Logits
    ŃĶ
    -0.73
    yss
    -0.72
    xit
    -0.70
    cision
    -0.69
    PRESS
    -0.66
     Yard
    -0.66
    ufact
    -0.64
    naissance
    -0.63
    ftime
    -0.62
    nered
    -0.61
    POSITIVE LOGITS
    pots
    1.47
    pot
    1.29
     hots
    1.23
     Hots
    1.14
    combe
    1.05
    atile
    0.88
    pur
    0.86
    hots
    0.85
    peak
    0.75
    pring
    0.74
    Activations Density 0.008%

    No Known Activations