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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. 9-RES-JB
    11. 8646
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    Explanations

    references to media outlets, news organizations, and government agencies

    oai_token-act-pair · gpt-3.5-turbo

    references to various media and organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    awar
    -0.74
    ultimate
    -0.71
    otos
    -0.71
    stones
    -0.67
    lio
    -0.66
    lua
    -0.64
    gro
    -0.63
    tein
    -0.63
    CHAT
    -0.63
    kun
    -0.62
    POSITIVE LOGITS
    hips
    1.10
    chool
    0.93
     vying
    0.93
    folk
    0.92
    ystem
    0.90
     including
    0.89
    hops
    0.89
     alike
    0.85
     worldwide
    0.83
     accredited
    0.83
    Activations Density 0.327%

    No Known Activations