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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. 11-RES-JB
    11. 4820
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    Explanations

    phrases related to setting up or establishing something

    oai_token-act-pair · gpt-3.5-turbo

    instances of setting up structures or arrangements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    iev
    -0.71
    ocity
    -0.71
    heart
    -0.68
    fulness
    -0.65
    ãĥ´
    -0.65
    ena
    -0.62
     Souls
    -0.61
    gebra
    -0.60
    uma
    -0.60
    WR
    -0.59
    POSITIVE LOGITS
     shop
    1.33
     tents
    0.91
     camp
    0.89
     shops
    0.87
     camps
    0.80
     booths
    0.80
     rapport
    0.78
     microphones
    0.77
     contingency
    0.75
     kios
    0.75
    Activations Density 0.083%

    No Known Activations