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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. 5-RES-JB
    6. 11053
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    Explanations

    organizations or groups with the word "Front" in their name

    oai_token-act-pair · gpt-3.5-turbo

    references to various political groups or organizations identified by the term "Front."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    UGH
    -0.82
    awk
    -0.80
    STEM
    -0.74
    tar
    -0.74
    risome
    -0.73
    女
    -0.73
    chell
    -0.72
    gging
    -0.71
    cles
    -0.71
    awks
    -0.71
    POSITIVE LOGITS
    alis
    0.88
    ugal
    0.85
    ois
    0.81
    eous
    0.78
    icia
    0.76
    iers
    0.76
    Front
    0.75
    ing
    0.73
     Against
    0.72
    ais
    0.69
    Activations Density 0.017%

    No Known Activations