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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. 7-RES-JB
    6. 4807
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    Explanations

    references to the telecommunications company "BT."

    oai_token-act-pair · gpt-3.5-turbo

    references to the company BT

    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
    afort
    -0.98
    ufact
    -0.88
    CVE
    -0.87
    bourg
    -0.76
    atically
    -0.75
    atics
    -0.71
    myra
    -0.71
     Peninsula
    -0.70
    itives
    -0.68
     CVE
    -0.68
    POSITIVE LOGITS
    URN
    0.93
    terness
    0.92
    ypes
    0.87
    imes
    0.87
    REE
    0.86
    ract
    0.86
    TL
    0.85
    ilde
    0.85
    TER
    0.83
    olkien
    0.82
    Activations Density 0.028%

    No Known Activations