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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 11194
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    Explanations

    brand names of different electronic devices

    oai_token-act-pair · gpt-3.5-turbo

    brand names of technology and electronics products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    isode
    -0.85
    obin
    -0.81
    qqa
    -0.80
    heid
    -0.77
    ysis
    -0.76
    avez
    -0.76
    taboola
    -0.74
    ynt
    -0.74
    cffffcc
    -0.71
    lete
    -0.71
    POSITIVE LOGITS
     Electronics
    0.95
     Precision
    0.95
     Corporation
    0.93
    senal
    0.89
     Motor
    0.86
     trademarks
    0.84
     Products
    0.83
    Benz
    0.82
     flagship
    0.82
     brass
    0.81
    Activations Density 0.132%

    No Known Activations