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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. 12394
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    Explanations

    specific terms or phrases related to various fields such as leadership, medicine, technology, politics, and education

    oai_token-act-pair · gpt-3.5-turbo

    references to leadership and governance

    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
     acknow
    -0.46
     seiz
    -0.41
     apologise
    -0.40
     Belg
    -0.40
     analyse
    -0.39
     appre
    -0.39
     destro
    -0.38
     distingu
    -0.38
    vati
    -0.38
     reper
    -0.38
    POSITIVE LOGITS
    ONSORED
    0.50
    ALT
    0.45
    Utah
    0.43
    INTON
    0.43
    NES
    0.41
    ighthouse
    0.40
    ILA
    0.39
    atonin
    0.39
    ãĥĻ
    0.38
    rities
    0.38
    Activations Density 1.893%

    No Known Activations