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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. 6-RES-JB
    6. 10113
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    Explanations

    mentions of military ranks

    oai_token-act-pair · gpt-3.5-turbo

    the mention of military ranks or titles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ILLE
    -0.79
    perate
    -0.72
     damned
    -0.69
     predictably
    -0.66
    earchers
    -0.63
    fitted
    -0.63
     Vaugh
    -0.63
    fm
    -0.63
    FAULT
    -0.63
     Machina
    -0.62
    POSITIVE LOGITS
    itized
    0.90
     depressive
    0.75
    minster
    0.74
     League
    0.71
    isd
    0.70
    leaf
    0.69
    ificant
    0.68
    itarian
    0.68
    nton
    0.68
    TAIN
    0.66
    Activations Density 0.013%

    No Known Activations