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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. 11-RES-JB
    6. 24415
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    Explanations

    words related to growth or increase

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to growth or increase

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    thing
    -0.89
    oops
    -0.71
    ĪĴ
    -0.68
    mates
    -0.65
    stones
    -0.65
    oran
    -0.65
    words
    -0.65
    inker
    -0.64
    raid
    -0.63
    atom
    -0.63
    POSITIVE LOGITS
     exponentially
    1.10
     likelihood
    1.04
     susceptibility
    0.95
     visibility
    0.93
     frequency
    0.92
     reliance
    0.92
     entropy
    0.92
     sensitivity
    0.90
     awareness
    0.88
     efficiency
    0.88
    Activations Density 0.080%

    No Known Activations