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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. 1-RES-JB
    6. 17714
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    Explanations

    references to a specific word or name 'row'

    oai_token-act-pair · gpt-3.5-turbo

    sequences of words that include variations of the word "row."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    £ı
    -0.78
     flaw
    -0.73
    ãĥ¤
    -0.72
     metic
    -0.71
    ĺħ
    -0.70
    urated
    -0.69
     mosqu
    -0.66
     authentic
    -0.65
     fragmented
    -0.65
     CoC
    -0.65
    POSITIVE LOGITS
    row
    1.33
    restling
    1.02
    icz
    0.96
    rows
    0.92
    ars
    0.89
    dy
    0.86
    ski
    0.85
    lings
    0.84
    TPPStreamerBot
    0.83
    feed
    0.82
    Activations Density 0.006%

    No Known Activations