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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. 5-RES-JB
    6. 7034
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    Explanations

    phrases related to taking something into consideration or factoring it into a decision or judgment

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize the importance of considering various factors or contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    zai
    -0.70
    dot
    -0.66
    edly
    -0.63
    iants
    -0.63
    atile
    -0.62
    ians
    -0.62
    auld
    -0.61
    WARE
    -0.60
     insulted
    -0.59
    owl
    -0.59
    POSITIVE LOGITS
     adulthood
    0.76
    displayText
    0.72
     consideration
    0.69
    clusion
    0.69
    Merit
    0.64
    Putin
    0.64
    asons
    0.63
     Clause
    0.62
    clusive
    0.62
     account
    0.62
    Activations Density 0.039%

    No Known Activations