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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. 23836
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    Explanations

    references to specific entities or subjects within a structured system

    oai_token-act-pair · gpt-3.5-turbo

    references to educational institutions and their operations

    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
    ãĤ©
    -0.64
    âĸ¬
    -0.58
    atever
    -0.55
    Honest
    -0.54
    athan
    -0.53
    LESS
    -0.53
    ONSORED
    -0.52
     Niet
    -0.50
    enegger
    -0.49
    ãĤ¦ãĤ¹
    -0.48
    POSITIVE LOGITS
    mith
    1.07
    hip
    0.95
    chool
    0.95
    hips
    0.94
    paces
    0.93
    heet
    0.88
    etting
    0.88
    ystem
    0.87
    creen
    0.86
    peed
    0.85
    Activations Density 0.743%

    No Known Activations