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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. 3702
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    INDEX
    Explanations

    references to people's names

    oai_token-act-pair · gpt-3.5-turbo

    names and terms related to Pablo Escobar and relevant legal or criminal context

    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
    ĪĴ
    -1.06
    hips
    -0.97
    ily
    -0.95
    eln
    -0.92
    ieg
    -0.92
    ccording
    -0.91
    een
    -0.91
    heed
    -0.87
    pipe
    -0.85
    oust
    -0.85
    POSITIVE LOGITS
     Railroad
    0.95
     Sinclair
    0.74
    Walk
    0.74
     Ple
    0.73
     Crossing
    0.73
     Dreams
    0.70
    Fac
    0.68
     Lodge
    0.67
     Slave
    0.67
     envy
    0.67
    Activations Density 0.058%

    No Known Activations