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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 17053
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    Explanations

    words related to global or international contexts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to global and international contexts

    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
    lees
    -1.02
    hops
    -0.94
    rings
    -0.93
     Blocks
    -0.92
     Rooms
    -0.91
    sites
    -0.90
    casts
    -0.90
    words
    -0.89
    posts
    -0.89
    tags
    -0.88
    POSITIVE LOGITS
     standpoint
    1.30
     perspective
    1.12
     renaissance
    1.02
     basis
    1.01
     resurgence
    1.01
     solution
    1.01
     foothold
    0.98
     roadmap
    0.98
     mindset
    0.98
     agenda
    0.97
    Activations Density 0.330%

    No Known Activations