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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. 13781
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    Explanations

    terms related to weather conditions

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Weather" and related terms

    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
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    No Comments

    Negative Logits
    ioned
    -0.88
    essors
    -0.87
    uates
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    essor
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    inates
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    inctions
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    alty
    -0.77
    acters
    -0.77
    ificial
    -0.74
    itable
    -0.74
    POSITIVE LOGITS
     Powers
    0.84
    mire
    0.75
    lings
    0.75
    hurst
    0.75
    fell
    0.72
    bug
    0.72
    LAN
    0.71
    burn
    0.71
    robe
    0.70
    Bug
    0.70
    Activations Density 0.021%

    No Known Activations