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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. 3607
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    Explanations

    phrases related to physical impacts or strong attacks

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "hit" and its variations, typically in contexts related to physical impact or injury

    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
    pires
    -0.82
    æ©Ł
    -0.73
    UTH
    -0.72
    utical
    -0.68
    theless
    -0.67
    æĥ
    -0.64
    cia
    -0.64
    ¥µ
    -0.63
     Philos
    -0.62
     colours
    -0.62
    POSITIVE LOGITS
    ched
    1.20
    chens
    1.13
    ches
    0.98
    box
    0.96
    achi
    0.93
    ters
    0.86
    gerald
    0.86
    boxes
    0.84
    ted
    0.84
    rod
    0.81
    Activations Density 0.028%

    No Known Activations