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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. 3-RES-JB
    11. 16271
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    Explanations

    words related to digital advertising and marketing

    oai_token-act-pair · gpt-3.5-turbo

    terms related to media, campaigns, and distribution channels

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    undrum
    -0.63
    aceae
    -0.59
    yssey
    -0.58
    ortium
    -0.58
    ossier
    -0.57
    issance
    -0.57
    uden
    -0.56
    emale
    -0.55
    eanor
    -0.55
    hirt
    -0.54
    POSITIVE LOGITS
    wise
    0.64
     cards
    0.59
    wat
    0.59
    lessly
    0.59
     wise
    0.58
     bonuses
    0.57
    pal
    0.56
     screenings
    0.55
     plac
    0.54
     allocations
    0.54
    Activations Density 1.664%

    No Known Activations