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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. 18794
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    Explanations

    references or mentions of a specific entity named "Sec" with different numbers appended to it

    oai_token-act-pair · gpt-3.5-turbo

    sections regarding specific "Sec" classifications or designations, likely indicating a security or organizational 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
    lihood
    -0.79
     Mata
    -0.74
    è¦ļéĨĴ
    -0.70
     Warcraft
    -0.67
     Manila
    -0.66
     Gat
    -0.65
    Interstitial
    -0.64
     park
    -0.64
    FORE
    -0.63
     Furious
    -0.63
    POSITIVE LOGITS
    recy
    1.10
    ession
    1.07
    aucus
    1.04
    ular
    0.99
    unia
    0.98
    opian
    0.89
    rets
    0.87
    ularity
    0.87
    Sec
    0.85
    urities
    0.85
    Activations Density 0.013%

    No Known Activations