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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 16377
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    Explanations

    words related to technology and mobile devices

    oai_token-act-pair · gpt-3.5-turbo

    mentions of phones and related mobile devices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uctions
    -0.75
    lein
    -0.74
    iffe
    -0.74
    anooga
    -0.74
    rans
    -0.73
    aining
    -0.73
     Michaels
    -0.71
    ival
    -0.71
    ained
    -0.70
    rust
    -0.69
    POSITIVE LOGITS
     handset
    1.14
     charger
    1.14
     apps
    1.01
     unlocking
    0.98
     Apps
    0.93
     charg
    0.90
     app
    0.89
     chipset
    0.89
     phones
    0.89
    awei
    0.88
    Activations Density 0.046%

    No Known Activations