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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. 7738
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    INDEX
    Explanations

    phrases expressing strong opinions or judgments

    oai_token-act-pair · gpt-3.5-turbo

    the contraction "you're" or its variations indicating the second person

    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
    rates
    -0.67
    obbies
    -0.65
     implements
    -0.64
    ESE
    -0.64
    IDs
    -0.64
     occurs
    -0.62
    ilts
    -0.62
    igraph
    -0.61
    kas
    -0.61
    UTERS
    -0.61
    POSITIVE LOGITS
     gonna
    1.08
     welcome
    1.00
     obligated
    1.00
     liable
    0.94
     probably
    0.93
     likely
    0.92
     lucky
    0.92
     able
    0.91
     entitled
    0.90
     aware
    0.89
    Activations Density 0.180%

    No Known Activations