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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 1-RES-JB
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    Explanations

    references to the "Phantom" in the context of a movie or character within a specific franchise

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "Phantom."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    HCR
    -0.89
    orge
    -0.77
    UTERS
    -0.75
    ells
    -0.71
    enced
    -0.70
    ternity
    -0.70
    ands
    -0.70
    llah
    -0.69
    perature
    -0.68
    gewater
    -0.67
    POSITIVE LOGITS
     Phantom
    1.01
    antom
    0.96
    iple
    0.81
    amera
    0.80
     squid
    0.79
     Thieves
    0.77
     Winged
    0.73
     Rider
    0.73
     Horse
    0.73
    ousel
    0.72
    Activations Density 0.013%

    No Known Activations