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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. 11-RES-JB
    11. 12433
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    Explanations

    verbs related to improvement or enhancing something

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "improve" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cium
    -0.89
    DragonMagazine
    -0.86
    NetMessage
    -0.75
    mad
    -0.72
    ãĤ¦ãĤ¹
    -0.71
    ubi
    -0.69
    py
    -0.68
    zens
    -0.68
    worth
    -0.66
    vin
    -0.66
    POSITIVE LOGITS
     upon
    1.12
     efficiency
    1.07
     relations
    0.96
     outcomes
    0.93
     accuracy
    0.90
     reliability
    0.89
     responsiveness
    0.88
     coordination
    0.88
     quality
    0.87
     hygiene
    0.86
    Activations Density 0.078%

    No Known Activations