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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. 10-RES-JB
    11. 21854
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    Explanations

    people's names and professions

    oai_token-act-pair · gpt-3.5-turbo

    phrases describing individuals and their roles or professions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     multiplying
    -0.68
     temptation
    -0.63
     Trem
    -0.63
     expiration
    -0.62
     crumbling
    -0.61
     Grave
    -0.61
     goodbye
    -0.60
     roaring
    -0.60
     obscene
    -0.60
     Beginning
    -0.60
    POSITIVE LOGITS
     oversees
    1.38
     oversaw
    1.37
     specializes
    1.31
     participated
    1.22
     attended
    1.20
     owns
    1.16
     attends
    1.13
     toured
    1.11
     teaches
    1.09
     consulted
    1.08
    Activations Density 0.107%

    No Known Activations