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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. 15656
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    oai_token-act-pair · gpt-3.5-turbo

    references to digital media content

    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
    Not in Any Lists

    No Comments

    Negative Logits
    rolet
    -0.76
     Hamm
    -0.67
     damn
    -0.65
     Geh
    -0.65
    athan
    -0.63
     Zimmer
    -0.63
     Siem
    -0.63
     Jenkins
    -0.61
    Äĩ
    -0.60
     Dj
    -0.60
    POSITIVE LOGITS
    edly
    1.37
     content
    1.03
    Content
    0.85
     creators
    0.79
    Delivery
    0.76
    istence
    0.76
     Content
    0.74
    content
    0.72
    ais
    0.72
     creator
    0.72
    Activations Density 0.015%

    No Known Activations