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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. 787
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    Explanations

    references to someone's actions or status

    oai_token-act-pair · gpt-3.5-turbo

    instances of the verb "was."

    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
     entails
    -0.75
    inav
    -0.74
     Previous
    -0.67
     Which
    -0.66
     Extend
    -0.65
     Highlands
    -0.65
     Highlights
    -0.64
    guy
    -0.64
    ð
    -0.62
    ESE
    -0.62
    POSITIVE LOGITS
     able
    1.12
    wolves
    1.04
    nt
    1.01
    wolf
    0.97
     supposed
    0.96
    hes
    0.93
     unable
    0.92
     destined
    0.92
     bitten
    0.91
     afraid
    0.91
    Activations Density 0.336%

    No Known Activations