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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. 10-RES-JB
    6. 4194
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to various types of risks and liabilities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    adobe
    -0.74
    ynthesis
    -0.69
    jon
    -0.69
    ModLoader
    -0.67
    thens
    -0.66
    acket
    -0.65
    enhagen
    -0.65
    regor
    -0.65
    pmwiki
    -0.65
    pload
    -0.64
    POSITIVE LOGITS
     alike
    1.38
     sectors
    1.18
     perspectives
    1.05
     spheres
    1.03
     industries
    1.00
     contexts
    0.98
     environments
    0.98
     aspects
    0.95
     worlds
    0.94
     fronts
    0.91
    Activations Density 0.269%

    No Known Activations