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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. 4279
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    Explanations

    words related to taking back control or possession

    oai_token-act-pair · gpt-3.5-turbo

    words related to recovering or taking back something

    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
    ahi
    -0.70
    bsp
    -0.68
    tar
    -0.67
    ECD
    -0.64
    raid
    -0.64
    die
    -0.62
    agram
    -0.62
    Die
    -0.62
    Statement
    -0.62
    Test
    -0.60
    POSITIVE LOGITS
     regained
    0.95
     regain
    0.91
     reclaim
    0.89
     rightful
    0.82
    overy
    0.82
     recapt
    0.77
    issance
    0.77
    prise
    0.76
     composure
    0.76
     custody
    0.75
    Activations Density 0.049%

    No Known Activations