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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. 0-RES-JB
    6. 14068
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    Explanations

    phrases related to a specific entity or name, likely "Sec9"

    oai_token-act-pair · gpt-3.5-turbo

    the term "Sec" followed by numerical values, indicating a focus on security-related references or designations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ortal
    -0.72
     imitate
    -0.70
    mares
    -0.69
    alle
    -0.67
    amura
    -0.64
    atten
    -0.64
    ei
    -0.63
    atsuki
    -0.62
    landish
    -0.62
    axe
    -0.62
    POSITIVE LOGITS
     Sec
    4.02
    Sec
    2.57
    sec
    1.93
     sec
    1.75
    SEC
    1.33
     SEC
    1.28
     Sect
    1.25
     Secure
    1.05
     Sanct
    0.96
     Priv
    0.95
    Activations Density 0.014%

    No Known Activations