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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. 18690
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    Explanations

    names related to individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names related to individuals and locations

    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
    ffe
    -0.75
    rise
    -0.71
    road
    -0.70
    earch
    -0.68
    bel
    -0.67
    meal
    -0.66
    ugh
    -0.66
    bell
    -0.64
    phrine
    -0.64
    dress
    -0.64
    POSITIVE LOGITS
    ique
    1.18
    icans
    1.05
    ance
    1.04
    ANCE
    0.98
    ick
    0.98
    ator
    0.96
    icks
    0.94
    icum
    0.94
    antly
    0.88
    ica
    0.87
    Activations Density 0.051%

    No Known Activations