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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. 9-RES-JB
    6. 17571
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    Explanations

    phrases that link multiple topics or ideas together

    oai_token-act-pair · gpt-3.5-turbo

    repeated phrases indicating additional items or examples

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Rocks
    -0.60
     protagonists
    -0.59
    ULTS
    -0.58
    leneck
    -0.58
    ESE
    -0.57
    ãĥ³ãĤ¸
    -0.57
     losers
    -0.57
    Mid
    -0.56
    anooga
    -0.56
     Crew
    -0.55
    POSITIVE LOGITS
     others
    1.06
     other
    0.88
     countless
    0.87
     subsequent
    0.83
    isSpecialOrderable
    0.82
     similar
    0.82
    other
    0.81
     innumerable
    0.80
     related
    0.79
     relate
    0.77
    Activations Density 0.125%

    No Known Activations