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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
    11. 9499
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    Explanations

    mentions of frogs

    oai_token-act-pair · gpt-3.5-turbo

    terms related to frogs and amphibians

    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
    Interstitial
    -0.75
     Goods
    -0.72
    HC
    -0.67
     Commonwealth
    -0.67
    QUIRE
    -0.65
     Hemp
    -0.64
    ×ij
    -0.64
     Parenthood
    -0.63
    FINE
    -0.63
    Definition
    -0.62
    POSITIVE LOGITS
    lings
    1.05
     frogs
    1.01
    grass
    0.96
    adier
    0.95
     frog
    0.93
    frog
    0.90
    weed
    0.87
     Frog
    0.83
    mons
    0.83
    fish
    0.81
    Activations Density 0.009%

    No Known Activations