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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. 0-RES-JB
    11. 16970
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    Explanations

    website visit prompts

    oai_token-act-pair · gpt-3.5-turbo

    calls to action for visiting websites

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     bott
    -0.77
     fodder
    -0.68
     counter
    -0.68
     damp
    -0.65
     equilibrium
    -0.65
     freaking
    -0.64
     numbers
    -0.64
     elastic
    -0.64
     coales
    -0.63
     vind
    -0.63
    POSITIVE LOGITS
     Visit
    3.89
    Visit
    2.33
     visit
    2.01
     visits
    1.52
     Visitors
    1.36
     visitor
    1.26
     Spend
    1.23
     VIS
    1.23
     Explore
    1.19
     Contact
    1.19
    Activations Density 0.014%

    No Known Activations