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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. 9-RES-JB
    11. 13732
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    Explanations

    dates mentioned in news articles

    oai_token-act-pair · gpt-3.5-turbo

    specific dates and numerical data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     departments
    -0.58
     Genie
    -0.56
     explan
    -0.54
     habitual
    -0.54
     DI
    -0.53
     tut
    -0.52
     expectations
    -0.51
     filament
    -0.51
     streng
    -0.51
     Arche
    -0.51
    POSITIVE LOGITS
    th
    1.69
    rd
    1.18
    ths
    1.07
    nd
    1.01
    teenth
    0.98
    st
    0.96
    TH
    0.96
    thus
    0.93
    tha
    0.89
    eteenth
    0.79
    Activations Density 0.101%

    No Known Activations