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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. 6-RES-JB
    11. 9695
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to mathematics and mathematical concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    fires
    -0.78
    lyak
    -0.77
    guard
    -0.74
    ortium
    -0.74
    riot
    -0.68
    fire
    -0.68
    PO
    -0.67
    ovie
    -0.67
    yards
    -0.66
    etts
    -0.65
    POSITIVE LOGITS
     equations
    1.03
    hemat
    0.95
    hematic
    0.92
     mathematical
    0.90
     mathematics
    0.88
     mathematic
    0.87
     physicists
    0.85
     algebra
    0.85
     theorem
    0.83
     physicist
    0.83
    Activations Density 0.040%

    No Known Activations