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    9. 3-RES-JB
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    Explanations

    references to the city of Orlando

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the city of Orlando

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bler
    -0.87
    sed
    -0.69
    pring
    -0.69
    road
    -0.68
    ship
    -0.67
    REE
    -0.67
    regulation
    -0.67
    adr
    -0.67
    frames
    -0.66
    venge
    -0.66
    POSITIVE LOGITS
     Orlando
    0.90
     Bloom
    0.86
    ista
    0.83
     Sentinel
    0.81
     Harbor
    0.81
    illo
    0.79
     nightclub
    0.79
    iens
    0.79
    istas
    0.75
     Reyes
    0.73
    Activations Density 0.005%

    No Known Activations