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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. 4-RES-JB
    11. 4455
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    Explanations

    mentions of the word "Rojava"

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of the term "Ro," likely indicating a focus on a specific brand, person, or entity associated with that term

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

    No Comments

    Negative Logits
     CPC
    -0.78
    ividual
    -0.75
    ãĥ¼ãĥĨãĤ£
    -0.74
    manship
    -0.74
     Yankee
    -0.69
     Beir
    -0.68
     Norn
    -0.67
     EntityItem
    -0.66
    lihood
    -0.66
     Birch
    -0.63
    POSITIVE LOGITS
    oster
    1.05
    java
    1.05
    vers
    0.99
    zeb
    0.96
    oke
    0.95
    aches
    0.95
    zzi
    0.94
    asted
    0.93
    zz
    0.93
    aming
    0.92
    Activations Density 0.013%

    No Known Activations