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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    Explanations

    the word "plug" with a high activation value

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "plug" and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Shal
    -0.78
     Vall
    -0.76
     Martial
    -0.71
    oric
    -0.70
     Thrones
    -0.69
    arma
    -0.69
     Surv
    -0.67
    atem
    -0.66
    ael
    -0.65
     Huntington
    -0.65
    POSITIVE LOGITS
     plug
    3.91
     plugs
    2.76
     Plug
    2.71
    plug
    2.57
    Plug
    2.52
     plugged
    2.11
     plugin
    1.21
     plugins
    1.16
     Plugin
    1.12
     refuel
    1.09
    Activations Density 0.012%

    No Known Activations