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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. 6-RES-JB
    11. 841
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    Explanations

    phrases related to the ability to achieve something or make improvements

    oai_token-act-pair · gpt-3.5-turbo

    phrases centered around capability and action

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    Lenin
    -0.65
    mes
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     Completed
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    govtrack
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     Mell
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     Ruk
    -0.56
    IL
    -0.56
     Cly
    -0.56
     plagued
    -0.55
     surrounded
    -0.55
    POSITIVE LOGITS
     safely
    0.90
     easily
    0.88
    ivably
    0.84
     freely
    0.81
    ibly
    0.80
    apesh
    0.77
    uate
    0.76
     anytime
    0.75
     cheaply
    0.75
     muster
    0.73
    Activations Density 0.318%

    No Known Activations