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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. 12028
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals and associated entities

    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
    stal
    -0.90
    scene
    -0.76
    grim
    -0.73
    phrine
    -0.72
    verse
    -0.71
    neum
    -0.71
    gnu
    -0.71
    ve
    -0.70
    oshenko
    -0.70
    flix
    -0.69
    POSITIVE LOGITS
    agne
    1.06
    ippi
    0.88
    essor
    0.87
    ensen
    0.86
    opher
    0.85
    endish
    0.84
    assin
    0.82
    abis
    0.80
    indal
    0.79
    itude
    0.78
    Activations Density 0.030%

    No Known Activations