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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. 4-RES-JB
    6. 23392
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    Explanations

    abbreviations or acronyms followed by numerical values

    oai_token-act-pair · gpt-3.5-turbo

    instances of the term "OT," indicating a focus on specific operational terminology or acronyms

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

    No Comments

    Negative Logits
    uckland
    -0.71
    bler
    -0.70
     fixme
    -0.66
    ãĥĭ
    -0.62
    kers
    -0.60
    fold
    -0.60
     versa
    -0.59
    TextColor
    -0.59
     Thur
    -0.59
     afore
    -0.59
    POSITIVE LOGITS
    assium
    1.15
    TL
    1.03
    OGR
    0.95
    TE
    0.94
    OT
    0.93
    ECH
    0.93
    ALS
    0.90
    uning
    0.89
    TO
    0.87
    inyl
    0.87
    Activations Density 0.012%

    No Known Activations