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    9. 4-RES-JB
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    Explanations

    occurrences of the word "march" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "march" and its variations

    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
    terness
    -0.79
    eger
    -0.75
    ridges
    -0.73
    oxide
    -0.72
    ricular
    -0.71
    levant
    -0.70
    etheless
    -0.69
    folios
    -0.69
    lig
    -0.68
    efficients
    -0.68
    POSITIVE LOGITS
     marching
    0.95
     marched
    0.90
     march
    0.88
    iage
    0.86
    cade
    0.84
     marches
    0.83
    igraph
    0.77
     Parade
    0.72
    oppable
    0.72
     encamp
    0.71
    Activations Density 0.021%

    No Known Activations