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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. 22101
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    Explanations

    words related to marketing

    oai_token-act-pair · gpt-3.5-turbo

    references to marketing strategies and concepts

    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
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    No Comments

    Negative Logits
    20439
    -0.83
     Fas
    -0.72
    inite
    -0.70
     captcha
    -0.67
     Carbuncle
    -0.67
    uckle
    -0.65
    ulhu
    -0.64
     TAMADRA
    -0.63
    tein
    -0.62
     Templar
    -0.62
    POSITIVE LOGITS
    eering
    0.92
     campaigns
    0.91
    eers
    0.88
     ploy
    0.86
     blitz
    0.81
     gimm
    0.80
     gimmick
    0.79
     marketing
    0.78
    eer
    0.78
     automation
    0.78
    Activations Density 0.021%

    No Known Activations