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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. 4592
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    Explanations

    keywords related to encryption and security keys

    oai_token-act-pair · gpt-3.5-turbo

    references to cryptographic keys and their usage

    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
    ews
    -0.90
    ¬¼
    -0.81
    ATIONAL
    -0.74
     PHOTO
    -0.70
    asma
    -0.70
     Pigs
    -0.66
    anie
    -0.65
     Chatt
    -0.64
    asca
    -0.64
     Fif
    -0.62
    POSITIVE LOGITS
    stroke
    1.34
    */(
    1.15
    bind
    1.02
    chain
    1.02
    stro
    1.02
    caps
    1.00
    ring
    0.99
    stone
    0.99
    codes
    0.98
    binding
    0.93
    Activations Density 0.017%

    No Known Activations