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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. 2-RES-JB
    6. 20
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    Explanations

    proper nouns related to the "Star Wars" series

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "Phantom" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    references to "The Phantom"

    oai_token-act-pair · gpt-4-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gewater
    -0.81
    HCR
    -0.79
    ells
    -0.72
    upon
    -0.72
    UTERS
    -0.71
    tics
    -0.69
    perature
    -0.68
    minist
    -0.68
    say
    -0.68
    enced
    -0.67
    POSITIVE LOGITS
     Orchestra
    0.88
     Phantom
    0.87
    antom
    0.82
     Thieves
    0.77
     squid
    0.77
     Chaser
    0.76
     Horse
    0.76
    hawk
    0.74
     Stranger
    0.74
     Breaker
    0.73
    Activations Density 0.014%

    No Known Activations