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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. 9851
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    INDEX
    Explanations

    hyphenated phrases with the format "top-[number]-[descriptor]"

    oai_token-act-pair · gpt-3.5-turbo

    references to high-quality or elite categories, particularly in competitive contexts

    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
     Sawyer
    -0.72
     Cox
    -0.68
     Strait
    -0.65
     vigil
    -0.65
     Dia
    -0.63
     Kimmel
    -0.61
     lull
    -0.61
     tears
    -0.58
     revel
    -0.58
     Sig
    -0.58
    POSITIVE LOGITS
    ranking
    1.25
    level
    1.24
    tier
    1.23
    ranked
    1.14
    sized
    1.14
    class
    1.10
    selling
    1.06
    lining
    1.03
    rank
    1.01
    division
    1.00
    Activations Density 0.029%

    No Known Activations