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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. 7-RES-JB
    11. 1734
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    Explanations

    proper nouns, specifically names of people

    oai_token-act-pair · gpt-3.5-turbo

    names of prominent individuals, particularly in the context of fashion, film, and politics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ORTS
    -0.83
    士
    -0.79
    merce
    -0.72
    ruary
    -0.71
    lished
    -0.70
    âĶĢâĶĢ
    -0.68
    STATE
    -0.68
    essee
    -0.66
    DragonMagazine
    -0.62
    alore
    -0.62
    POSITIVE LOGITS
    kov
    0.74
    uty
    0.72
    zinski
    0.68
    jad
    0.68
    atz
    0.66
    opoulos
    0.66
    bard
    0.65
    ansky
    0.62
    ahl
    0.62
     (@
    0.61
    Activations Density 0.207%

    No Known Activations