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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. 7-RES-JB
    11. 22676
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    Explanations

    university and college names

    oai_token-act-pair · gpt-3.5-turbo

    names of universities and colleges

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eele
    -0.76
    É
    -0.62
    thumbnails
    -0.61
    Ì
    -0.58
    âĢ
    -0.58
    staking
    -0.57
    ÏĦ
    -0.53
    âĹ
    -0.53
    ––
    -0.52
    âĶĢ
    -0.52
    POSITIVE LOGITS
     âĵĺ
    0.67
     Mechdragon
    0.63
     (?,
    0.57
     etc
    0.55
     Hag
    0.53
     Empress
    0.53
     astronaut
    0.51
    addons
    0.51
     Yao
    0.50
    berra
    0.50
    Activations Density 0.177%

    No Known Activations