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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. 1559
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    Explanations

    phrases related to setting up or establishing something

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the act of establishing or creating something

    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
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    No Comments

    Negative Logits
    catentry
    -0.76
    uma
    -0.75
    iveness
    -0.73
    ãĥ´
    -0.71
    ï¸ı
    -0.71
    sburg
    -0.68
    antry
    -0.67
    umin
    -0.65
    âĨij
    -0.65
    ena
    -0.65
    POSITIVE LOGITS
     shop
    1.10
     camp
    0.91
     rapport
    0.86
     tents
    0.84
     partnerships
    0.74
     foundations
    0.73
     microphones
    0.70
     alliances
    0.70
     timers
    0.69
     turrets
    0.69
    Activations Density 0.057%

    No Known Activations