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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. 77
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    INDEX
    Explanations

    words related to instructions or actions that involve visiting websites or engaging with online content

    oai_token-act-pair · gpt-3.5-turbo

    the word "to" indicating actions or intentions

    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
    ELD
    -0.70
    offensive
    -0.67
     trailing
    -0.65
    standing
    -0.63
     Said
    -0.63
     layoffs
    -0.61
    existent
    -0.61
    enforcement
    -0.59
    soDeliveryDate
    -0.57
    soType
    -0.56
    POSITIVE LOGITS
     learn
    1.32
     see
    1.21
     find
    1.20
     get
    1.20
     avoid
    1.18
     maximize
    1.15
    ggles
    1.15
     obtain
    1.13
     receive
    1.10
     ensure
    1.10
    Activations Density 0.139%

    No Known Activations