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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 14241
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    Explanations

    names of specific people or entities

    oai_token-act-pair · gpt-3.5-turbo

    names, places, or entities associated with specific individuals or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
      
    -0.62
     ASP
    -0.60
     DISTR
    -0.54
     âĢº
    -0.53
     Morty
    -0.53
     CONTR
    -0.52
    taboola
    -0.52
     antim
    -0.51
     passer
    -0.51
     neurot
    -0.51
    POSITIVE LOGITS
    ÃŃn
    0.76
    ese
    0.69
    haus
    0.65
    ë
    0.64
    agate
    0.63
    eus
    0.62
    illus
    0.62
    edi
    0.62
    unia
    0.62
    ghan
    0.61
    Activations Density 0.524%

    No Known Activations