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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. 4469
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    INDEX
    Explanations

    programming-related keywords and syntax symbols

    oai_token-act-pair · gpt-3.5-turbo

    variable and function names in code syntax

    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
    quished
    -0.83
    atform
    -0.80
     Pearce
    -0.76
     Garry
    -0.76
    eteria
    -0.76
     Manson
    -0.74
     JPM
    -0.71
     Sachs
    -0.70
     Infect
    -0.69
     Mercy
    -0.69
    POSITIVE LOGITS
    dict
    1.07
    chance
    1.03
    state
    0.99
    modules
    0.99
    default
    0.98
    gradient
    0.98
    usable
    0.96
    enabled
    0.96
    module
    0.95
    blank
    0.95
    Activations Density 0.025%

    No Known Activations