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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. 6-RES-JB
    11. 7644
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    Explanations

    brand names and technology terms

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns related to companies, products, and media entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Entered
    -1.09
    >[
    -0.67
     Diablo
    -0.65
     Haiti
    -0.59
     dred
    -0.58
     Windsor
    -0.58
     DUP
    -0.56
     awoken
    -0.55
     Benghazi
    -0.55
    hern
    -0.54
    POSITIVE LOGITS
    olicy
    0.71
    arant
    0.64
    cap
    0.64
    ogether
    0.63
    iquette
    0.63
    ãĥ¼ãĥĨ
    0.61
    NAS
    0.60
    çķ
    0.59
    center
    0.59
     XT
    0.58
    Activations Density 1.050%

    No Known Activations