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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. 8137
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    Explanations

    words related to the process of adjusting or adapting to new situations

    oai_token-act-pair · gpt-3.5-turbo

    references to the process of adapting or adjusting to various situations

    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
    eeds
    -0.66
     giveaway
    -0.65
    icious
    -0.65
    aughters
    -0.64
    ARE
    -0.64
    endez
    -0.63
     commemor
    -0.63
    arks
    -0.63
    minster
    -0.61
     âĨij
    -0.61
    POSITIVE LOGITS
     surroundings
    1.16
     unfamiliar
    1.05
     life
    1.00
     realities
    0.98
     reality
    0.91
     new
    0.90
     newfound
    0.86
     environments
    0.84
     living
    0.83
     adulthood
    0.82
    Activations Density 0.282%

    No Known Activations