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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 4-RES-JB
    11. 12576
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    Explanations

    phrases related to actions being done or caused by someone or something

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "by" indicating causation or authorship

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

    No Comments

    Negative Logits
    ivia
    -0.77
    naissance
    -0.76
    emo
    -0.75
    kered
    -0.73
    enth
    -0.71
    orthy
    -0.70
     "$:/
    -0.69
    perty
    -0.69
    aser
    -0.68
    hemer
    -0.67
    POSITIVE LOGITS
     virtue
    1.16
    laws
    1.00
    products
    0.89
     fiat
    0.86
     multiplying
    0.83
     means
    0.76
    gone
    0.75
     applying
    0.72
     successive
    0.71
     repealing
    0.71
    Activations Density 0.155%

    No Known Activations