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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
    11. 10024
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    Explanations

    names of different characters and entities

    oai_token-act-pair · gpt-3.5-turbo

    names and terms related to notable characters and entities

    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
    wu
    -0.80
     kcal
    -0.80
     inval
    -0.77
    ilies
    -0.75
     fraternity
    -0.74
     electors
    -0.74
    wallet
    -0.71
     calories
    -0.71
     es
    -0.70
     liquidity
    -0.70
    POSITIVE LOGITS
     Predator
    2.56
     Hawk
    2.06
     Raven
    2.05
     Panther
    1.95
     Patriot
    1.73
     Arrow
    1.66
     Scorpion
    1.60
    Raven
    1.57
     Predators
    1.56
     Leopard
    1.48
    Activations Density 0.053%

    No Known Activations