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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. 9-RES-JB
    6. 16876
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    INDEX
    Explanations

    mentions of legal or official terms

    oai_token-act-pair · gpt-3.5-turbo

    key political and social issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Defin
    -0.67
     goddamn
    -0.67
     REALLY
    -0.65
     crappy
    -0.63
     shitty
    -0.63
     darn
    -0.62
     :(
    -0.61
     withd
    -0.60
     freaking
    -0.60
     awesome
    -0.60
    POSITIVE LOGITS
    alysed
    0.76
    odox
    0.66
     campaigner
    0.65
    liament
    0.63
    incial
    0.62
    ily
    0.62
    iscopal
    0.61
    moil
    0.61
    autions
    0.60
    tailed
    0.60
    Activations Density 1.385%

    No Known Activations