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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. 4-RES-JB
    11. 4447
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    Explanations

    linear mathematical terms

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to mathematical functions and their properties

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    flies
    -0.74
    reon
    -0.74
    ardless
    -0.71
    aco
    -0.71
    ubs
    -0.70
    rolet
    -0.69
    rower
    -0.67
    illon
    -0.66
    UNE
    -0.66
    aples
    -0.65
    POSITIVE LOGITS
    ization
    1.04
    ized
    1.01
    ity
    0.99
     algebra
    0.97
    izable
    0.97
    izes
    0.90
    ities
    0.89
    icity
    0.88
     progression
    0.87
    gradient
    0.86
    Activations Density 0.013%

    No Known Activations