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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. 0-RES-JB
    6. 20744
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    INDEX
    Explanations

    words related to receiving or being honored or rewarded

    oai_token-act-pair · gpt-3.5-turbo

    words associated with the act of receiving or obtaining

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     schedule
    -0.66
     Charm
    -0.65
     Ally
    -0.64
     chall
    -0.62
     recommended
    -0.61
     Square
    -0.60
     slate
    -0.60
     column
    -0.60
     Rim
    -0.60
     amended
    -0.60
    POSITIVE LOGITS
    iving
    4.17
    ived
    2.72
    ives
    2.27
    ivers
    2.02
    ive
    1.97
    iver
    1.83
    IVES
    1.66
    ival
    1.65
    ivable
    1.58
    ivation
    1.42
    Activations Density 0.012%

    No Known Activations