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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. 9-RES-JB
    11. 9846
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    oai_token-act-pair · gpt-3.5-turbo

    ownership or possession-related terms and concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     quo
    -0.73
    OPLE
    -0.68
     Haram
    -0.66
     peel
    -0.65
     Yanuk
    -0.60
     inconven
    -0.59
     selectively
    -0.58
     routine
    -0.57
     otherwise
    -0.56
     Cic
    -0.55
    POSITIVE LOGITS
    ed
    1.99
    ing
    1.50
    edly
    1.42
    edIn
    1.28
    s
    1.25
    edin
    1.14
    ions
    1.05
    mental
    1.05
    amental
    1.04
    resses
    0.99
    Activations Density 0.202%

    No Known Activations