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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. 657
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    INDEX
    Explanations

    words related to absorption, uptake, and digestion

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with the concept of absorption across various 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
    FTWARE
    -0.68
     exoner
    -0.62
    eq
    -0.58
     Worldwide
    -0.58
    runners
    -0.57
     Violence
    -0.57
    ;;;;;;;;;;;;
    -0.56
    runner
    -0.56
     Investigator
    -0.56
     begging
    -0.55
    POSITIVE LOGITS
    ibles
    0.96
     absorbs
    0.89
    ency
    0.87
    iencies
    0.85
     absorbing
    0.84
    encies
    0.82
    ptive
    0.80
     absorb
    0.79
    weights
    0.78
    mite
    0.78
    Activations Density 0.028%

    No Known Activations