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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. 15944
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    Explanations

    names of specific individuals

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals, particularly focusing on prominent public figures

    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
    NING
    -0.73
    roach
    -0.73
     Mariners
    -0.70
    shr
    -0.69
    GW
    -0.65
     ashes
    -0.64
     poles
    -0.62
    icago
    -0.62
    awar
    -0.62
    Bir
    -0.61
    POSITIVE LOGITS
     Hollande
    1.18
     Hebdo
    1.06
     Rouge
    1.03
     François
    0.97
     Renault
    0.97
     Pascal
    0.96
     Francois
    0.94
    ienne
    0.87
    ois
    0.84
     Mou
    0.83
    Activations Density 0.028%

    No Known Activations