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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. 1-RES-JB
    11. 13480
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    INDEX
    Explanations

    mentions of nano-related concepts or technologies

    oai_token-act-pair · gpt-3.5-turbo

    references to nanotechnology and its applications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ————————————————
    -0.88
    ãĤ·ãĥ£
    -0.76
    ership
    -0.75
     Bald
    -0.75
    raising
    -0.72
    swick
    -0.70
    lyn
    -0.69
    Lord
    -0.69
    croft
    -0.69
    down
    -0.68
    POSITIVE LOGITS
     nano
    1.20
     nanop
    1.17
     Nano
    1.14
     tiss
    1.02
     nan
    0.96
    raviolet
    0.92
    ategory
    0.91
     lining
    0.89
    otechnology
    0.88
     ink
    0.84
    Activations Density 0.012%

    No Known Activations