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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. 6-RES-JB
    6. 5007
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    INDEX
    Explanations

    words related to the potential or possibility of a situation occurring

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating potential or possibilities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    biz
    -0.78
    book
    -0.77
    neck
    -0.73
    horn
    -0.70
    chens
    -0.68
    cup
    -0.68
    elle
    -0.66
     Deadline
    -0.65
    minus
    -0.65
    ele
    -0.65
    POSITIVE LOGITS
     leverage
    0.97
     advancement
    0.89
     misuse
    0.85
     reuse
    0.85
     future
    0.83
     breakthrough
    0.83
     enrich
    0.82
     escape
    0.80
     redemption
    0.80
     mischief
    0.79
    Activations Density 0.085%

    No Known Activations