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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. 10390
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    INDEX
    Explanations

    adjectives describing something organized or pleasing

    oai_token-act-pair · gpt-3.5-turbo

    descriptors related to organization and neatness

    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
    Downloadha
    -0.71
    senal
    -0.68
    ioxide
    -0.67
     defenders
    -0.67
    CVE
    -0.66
    7601
    -0.66
     Defenders
    -0.66
     risked
    -0.65
     exerted
    -0.64
     authorized
    -0.63
    POSITIVE LOGITS
    nesses
    1.09
    ness
    0.99
    liness
    0.96
    ety
    0.90
    arity
    0.84
     neat
    0.83
    ilde
    0.82
    icles
    0.80
    iness
    0.78
     little
    0.77
    Activations Density 0.026%

    No Known Activations