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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. 22972
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    INDEX
    Explanations

    phrases expressing transformation or change

    oai_token-act-pair · gpt-3.5-turbo

    the repetitive use of the word "become" in various contexts

    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
    pta
    -0.81
    bol
    -0.70
     goodness
    -0.70
    abwe
    -0.69
    rals
    -0.66
    merga
    -0.65
    bell
    -0.62
     Birthday
    -0.62
    oning
    -0.61
    ages
    -0.61
    POSITIVE LOGITS
     increasingly
    1.19
     synonymous
    1.18
     accustomed
    1.06
     politic
    0.97
     progressively
    0.94
     extinct
    0.91
     abundantly
    0.91
     commonplace
    0.89
     insepar
    0.89
     stale
    0.88
    Activations Density 0.070%

    No Known Activations