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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. 10-RES-JB
    11. 16223
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     eleph
    -0.82
     exting
    -0.78
    Þ
    -0.76
     awa
    -0.76
    ModLoader
    -0.76
    theless
    -0.75
    ccording
    -0.72
     pione
    -0.72
     referen
    -0.71
     enthusi
    -0.68
    POSITIVE LOGITS
    rower
    1.01
    sson
    0.98
    uez
    0.92
    beck
    0.92
    zinski
    0.91
    zon
    0.90
    eson
    0.90
    linger
    0.89
    ovich
    0.88
    axe
    0.88
    Activations Density 0.094%

    No Known Activations