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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. 0-RES-JB
    11. 6473
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    Explanations

    words related to strategic plans or guides

    oai_token-act-pair · gpt-3.5-turbo

    references to strategic plans or frameworks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atively
    -0.68
    Quality
    -0.66
    cur
    -0.64
     Quality
    -0.62
    CT
    -0.61
    ION
    -0.61
     cur
    -0.60
     Sep
    -0.58
    ieved
    -0.58
    âĢ¢
    -0.58
    POSITIVE LOGITS
     playbook
    4.30
     blueprint
    1.32
     checklist
    1.17
     repertoire
    1.14
     textbook
    1.07
     tactic
    1.07
     reperto
    1.04
     roadmap
    1.02
     arsenal
    1.01
     mindset
    0.98
    Activations Density 0.021%

    No Known Activations