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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
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    Explanations

    mentions of various types of chips, such as electronic chips or food chips

    oai_token-act-pair · gpt-3.5-turbo

    references to "chips" in various contexts

    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
    urban
    -0.84
    ln
    -0.78
    urnal
    -0.76
    ord
    -0.72
    rodu
    -0.70
     Marathon
    -0.70
    nea
    -0.68
    zanne
    -0.66
     Ly
    -0.65
     Salem
    -0.65
    POSITIVE LOGITS
     chips
    3.99
     Chips
    2.81
     chip
    2.60
    chip
    1.94
    Chip
    1.86
     Chip
    1.62
     fries
    1.51
     processors
    1.48
     CPUs
    1.32
     chipset
    1.26
    Activations Density 0.007%

    No Known Activations