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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 23379
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    Explanations

    phrases that indicate information was mentioned or explained previously or above

    oai_token-act-pair · gpt-3.5-turbo

    instances of phrases indicating prior references or mentions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rine
    -0.63
     Entered
    -0.61
    ROR
    -0.60
     lasted
    -0.59
     replica
    -0.58
    cliffe
    -0.57
     Females
    -0.57
    edia
    -0.57
    Maker
    -0.56
    BuyableInstoreAndOnline
    -0.56
    POSITIVE LOGITS
    above
    0.79
    Quotes
    0.71
     proverb
    0.67
    rolet
    0.67
    EngineDebug
    0.66
     [|
    0.65
    Dir
    0.64
     Azerb
    0.62
    à¼
    0.62
    ä
    0.61
    Activations Density 0.180%

    No Known Activations