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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. 23382
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    INDEX
    Explanations

    references to the specific object "Zero"

    oai_token-act-pair · gpt-3.5-turbo

    references to the Raspberry Pi Zero

    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
    ells
    -0.74
     clerks
    -0.72
     cler
    -0.72
    interstitial
    -0.70
    fol
    -0.70
    amn
    -0.67
    gren
    -0.64
     eastern
    -0.64
     collagen
    -0.64
     orn
    -0.64
    POSITIVE LOGITS
     Zero
    4.01
    Zero
    3.22
    zero
    2.37
     zero
    2.01
     Zer
    1.20
     Negative
    1.15
    ERO
    1.10
     Eleven
    1.09
     Sigma
    1.04
     Quantum
    1.01
    Activations Density 0.013%

    No Known Activations