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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. 1-RES-JB
    11. 8044
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    Explanations

    references to individuals or entities described as being a significant or well-established presence over a long period of time

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals or entities with a long tenure or history

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ibaba
    -0.93
    abad
    -0.87
    ammy
    -0.83
    urgy
    -0.82
    illions
    -0.80
    ences
    -0.78
    nosis
    -0.77
    ramid
    -0.77
    anism
    -0.77
    undai
    -0.76
    POSITIVE LOGITS
     longtime
    1.27
     resident
    0.94
     collaborator
    0.81
     associate
    0.76
     veteran
    0.73
     favorite
    0.73
     predecessor
    0.70
     friend
    0.69
    stay
    0.69
     backer
    0.67
    Activations Density 0.006%

    No Known Activations