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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 6-RES-JB
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    Explanations

    words related to the television show "Jimmy Kimmel Live"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Live" in the context of television shows

    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
    EStreamFrame
    -0.91
    usra
    -0.82
    uyomi
    -0.78
    unity
    -0.75
    heses
    -0.75
    isine
    -0.74
    urally
    -0.72
    istries
    -0.72
    adr
    -0.71
    ym
    -0.71
    POSITIVE LOGITS
    lihood
    1.64
     Lounge
    0.85
     Streaming
    0.83
     Live
    0.83
    cation
    0.82
    Journal
    0.81
     Forever
    0.75
     Tickets
    0.73
     Crew
    0.73
     Parking
    0.72
    Activations Density 0.019%

    No Known Activations