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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. 1-RES-JB
    6. 10095
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    Explanations

    sequences of characters "ice" with a high activation value

    oai_token-act-pair · gpt-3.5-turbo

    references to "ice" or words related to "ice" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    merce
    -0.86
     scrut
    -0.85
    ¥ŀ
    -0.78
     referen
    -0.74
    sembly
    -0.70
    uilt
    -0.68
    semb
    -0.68
     citiz
    -0.67
    cknow
    -0.67
     newcom
    -0.67
    POSITIVE LOGITS
    ice
    1.40
    lli
    1.10
    llular
    0.98
    llo
    0.95
    lla
    0.94
    ices
    0.89
    xp
    0.79
     Cust
    0.75
    cone
    0.75
    ptive
    0.72
    Activations Density 0.008%

    No Known Activations