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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
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    Explanations

    names of specific individuals

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals, particularly those involved in a specific context or event

    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
    Not in Any Lists

    No Comments

    Negative Logits
    phas
    -0.84
    teen
    -0.77
    fulness
    -0.75
    teenth
    -0.73
    FUL
    -0.73
    ndra
    -0.71
    inth
    -0.71
    angular
    -0.71
    phis
    -0.69
    rique
    -0.67
    POSITIVE LOGITS
    stein
    1.18
     Katz
    1.01
     Greenberg
    0.95
     Eisen
    0.90
    enegger
    0.85
     Goldstein
    0.83
    itsch
    0.83
     Shapiro
    0.82
     Schwartz
    0.81
    berg
    0.78
    Activations Density 0.029%

    No Known Activations