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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. 7-RES-JB
    11. 24117
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    Explanations

    mentions of specific locations and titles

    oai_token-act-pair · gpt-3.5-turbo

    references to specific positions or titles within organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    phia
    -0.74
    ruciating
    -0.60
     gritty
    -0.56
    owler
    -0.55
    ufact
    -0.55
    abytes
    -0.54
    complex
    -0.52
     addicted
    -0.51
    anuts
    -0.50
     fluct
    -0.50
    POSITIVE LOGITS
     Normandy
    0.56
    xit
    0.56
    JJ
    0.51
    shire
    0.51
     Jury
    0.50
    quit
    0.50
     Jed
    0.49
     Cancel
    0.49
     IPM
    0.49
    ciation
    0.48
    Activations Density 1.773%

    No Known Activations