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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. 1-RES-JB
    11. 2076
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    Explanations

    the word "Kabang"

    oai_token-act-pair · gpt-3.5-turbo

    the name "Kab," indicating a focus on specific entities or characters

    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
     Yankee
    -0.83
    ãĥ¼ãĥĨãĤ£
    -0.81
    BIP
    -0.81
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.80
     Beir
    -0.79
     Bundy
    -0.76
    CLA
    -0.72
    vironment
    -0.70
     Anchorage
    -0.69
     Naomi
    -0.68
    POSITIVE LOGITS
    yrinth
    0.90
    alus
    0.83
     Kab
    0.81
    atari
    0.79
    eki
    0.77
    ournal
    0.77
    amba
    0.76
    alin
    0.75
    deen
    0.73
    imaru
    0.73
    Activations Density 0.019%

    No Known Activations