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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. 10-RES-JB
    6. 9713
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    Explanations

    phrases related to the wearing off or erosion of something

    oai_token-act-pair · gpt-3.5-turbo

    verbs related to the concept of wearing, deterioration, or depletion over time

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    estern
    -0.64
    ortium
    -0.63
    assies
    -0.61
     congratulated
    -0.61
     Featured
    -0.61
     burg
    -0.59
     commons
    -0.59
    ËĪ
    -0.56
     proudly
    -0.56
     christ
    -0.56
    POSITIVE LOGITS
     outweigh
    0.92
     outwe
    0.83
     diminishing
    0.79
     impair
    0.76
     offset
    0.75
     eroded
    0.73
     shortages
    0.72
    ependent
    0.72
    rid
    0.69
     erosion
    0.69
    Activations Density 0.333%

    No Known Activations