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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. 1-RES-JB
    11. 2302
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    Explanations

    references to academic seminaries

    oai_token-act-pair · gpt-3.5-turbo

    references to seminaries or educational institutions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OWER
    -0.85
    ACTED
    -0.82
    RAY
    -0.76
    rers
    -0.73
     Ones
    -0.73
     Parties
    -0.71
    KY
    -0.70
    OOD
    -0.68
     Warren
    -0.65
    Rog
    -0.65
    POSITIVE LOGITS
     sem
    1.26
    icol
    1.08
    antically
    1.02
    ilogy
    0.99
    isphere
    0.97
    inary
    0.89
    iann
    0.88
    isoft
    0.88
    iotics
    0.86
     mosqu
    0.86
    Activations Density 0.007%

    No Known Activations