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

    references to the telecommunication company "Verizon."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the company Verizon

    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
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    No Comments

    Negative Logits
    etic
    -0.87
    etics
    -0.80
    rophe
    -0.80
    eworld
    -0.80
    etically
    -0.77
    ovych
    -0.77
    İ
    -0.75
    vre
    -0.74
    sle
    -0.74
    emia
    -0.73
    POSITIVE LOGITS
     Wireless
    1.25
     Fi
    0.96
     Communications
    0.92
     Indy
    0.84
     Bros
    0.82
    izon
    0.79
     SPORTS
    0.74
     Sports
    0.70
    ADA
    0.70
     Telecommunications
    0.70
    Activations Density 0.029%

    No Known Activations