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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. 8-RES-JB
    11. 23524
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    Explanations

    names of individuals or entities in the context of events or incidents

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, especially names and locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wcs
    -0.87
     SUPER
    -0.67
    aughtered
    -0.65
     AAA
    -0.61
    initions
    -0.61
    erial
    -0.60
     unic
    -0.59
     cradle
    -0.59
    ORK
    -0.58
    rimp
    -0.57
    POSITIVE LOGITS
     himself
    1.05
    's
    0.93
     Productions
    0.83
     believes
    0.81
    enegger
    0.80
    iewicz
    0.79
    zinski
    0.77
    enei
    0.77
     accuser
    0.77
     writes
    0.76
    Activations Density 0.228%

    No Known Activations