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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. 10-RES-JB
    11. 5290
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    Explanations

    verbs related to achieving goals or completing tasks

    oai_token-act-pair · gpt-3.5-turbo

    statements about achieving goals or being capable of accomplishments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BuyableInstoreAndOnline
    -0.82
     Advis
    -0.78
     Advisory
    -0.69
     reminder
    -0.63
     precaution
    -0.63
     accus
    -0.61
     ts
    -0.61
     Freddie
    -0.60
    inventoryQuantity
    -0.59
     remembrance
    -0.58
    POSITIVE LOGITS
     efficiently
    1.32
     safely
    1.28
     effortlessly
    1.28
     reliably
    1.27
     cheaply
    1.25
     without
    1.17
     WITHOUT
    1.07
    without
    1.07
     undet
    1.06
     convinc
    1.06
    Activations Density 0.628%

    No Known Activations