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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. 2-RES-JB
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    Explanations

    mentions of different types of candy

    oai_token-act-pair · gpt-3.5-turbo

    references to candy and confectionery

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     NCT
    -0.73
    chron
    -0.67
     Hutchinson
    -0.65
    ettel
    -0.65
    atche
    -0.63
     Gamergate
    -0.62
    Published
    -0.62
     Islam
    -0.61
     Wikimedia
    -0.61
     Chronicle
    -0.61
    POSITIVE LOGITS
     candy
    1.14
     cane
    1.10
     Candy
    0.92
     sweets
    0.90
     wra
    0.89
    fruit
    0.87
    mallow
    0.87
     cand
    0.86
     snacks
    0.84
     wrapper
    0.83
    Activations Density 0.006%

    No Known Activations