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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
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    Explanations

    countries and people's names

    oai_token-act-pair · gpt-3.5-turbo

    names of countries, people, or organizations involved in political contexts

    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
    adobe
    -0.79
    buquerque
    -0.64
     Aub
    -0.59
     Ambro
    -0.59
     Becky
    -0.57
     Ung
    -0.57
     Osc
    -0.55
    Joy
    -0.55
     Earn
    -0.55
    /
    -0.54
    POSITIVE LOGITS
     alike
    1.77
     respectively
    1.13
     together
    0.90
     combined
    0.84
     jointly
    0.81
     versa
    0.80
    together
    0.76
     separately
    0.75
     insepar
    0.75
     combine
    0.74
    Activations Density 0.390%

    No Known Activations