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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 18119
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    Explanations

    names of individuals in various professional fields

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals and organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Pigs
    -0.78
    actionDate
    -0.73
    Score
    -0.70
    KO
    -0.69
     Saying
    -0.66
    icol
    -0.63
     messing
    -0.60
    soDeliveryDate
    -0.60
     interfering
    -0.60
    FY
    -0.59
    POSITIVE LOGITS
     nevertheless
    1.06
     boasts
    0.97
     opted
    0.95
     ventured
    0.93
     resorted
    0.92
     nonetheless
    0.91
     embodies
    0.90
     finds
    0.90
     drifted
    0.90
     struggled
    0.89
    Activations Density 0.338%

    No Known Activations