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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 18532
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    Explanations

    terms related to mathematical functions and physical properties

    oai_token-act-pair · gpt-3.5-turbo

    repetitive mentions of the word "the" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĢİ
    -0.90
     Mormonism
    -0.74
    Bloomberg
    -0.69
     wisely
    -0.66
    Cash
    -0.64
    ISIS
    -0.62
     Tours
    -0.62
    ???
    -0.62
    Islam
    -0.62
    Faith
    -0.62
    POSITIVE LOGITS
     slightest
    1.22
     same
    1.22
     entire
    1.20
     remainder
    1.19
     resultant
    1.19
     highest
    1.17
    oret
    1.17
     lowest
    1.16
     aforementioned
    1.15
     latter
    1.15
    Activations Density 0.961%

    No Known Activations