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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. 15404
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    Explanations

    names of people or characters

    oai_token-act-pair · gpt-3.5-turbo

    proper names of individuals and entities mentioned in the text

    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
    Not in Any Lists

    No Comments

    Negative Logits
     oneself
    -0.77
     spor
    -0.73
    hetically
    -0.72
    selves
    -0.65
    etheless
    -0.65
     laz
    -0.64
     diplom
    -0.62
     pear
    -0.61
     Taiwanese
    -0.60
    aples
    -0.59
    POSITIVE LOGITS
    License
    0.78
    Hot
    0.77
    Walk
    0.73
    eni
    0.72
    Bad
    0.71
    Wallet
    0.71
    Anim
    0.69
    Daily
    0.69
     Alive
    0.68
    Asset
    0.66
    Activations Density 0.199%

    No Known Activations