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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. 4-RES-JB
    11. 6845
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    references related to a specific television show

    oai_token-act-pair · gpt-3.5-turbo

    references to a particular television show

    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
    undai
    -0.77
    ntil
    -0.70
    ilateral
    -0.68
     srf
    -0.67
    attled
    -0.66
    umatic
    -0.65
     disag
    -0.64
     Klux
    -0.63
    etheless
    -0.63
     solitary
    -0.62
    POSITIVE LOGITS
    runners
    1.52
    runner
    1.44
    biz
    1.20
    manship
    1.04
     airs
    1.02
    mable
    0.98
    girls
    0.94
    wright
    0.87
    matic
    0.86
    boat
    0.82
    Activations Density 0.037%

    No Known Activations