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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. 2843
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    Explanations

    phrases indicating importance or necessity

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing the significance or necessity of various points

    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
    oub
    -0.67
    bow
    -0.62
    row
    -0.62
    FU
    -0.60
     Curse
    -0.60
    lot
    -0.60
    ship
    -0.59
    HAHAHAHA
    -0.57
     Wish
    -0.57
    former
    -0.57
    POSITIVE LOGITS
     enough
    0.75
     nonetheless
    0.75
     emphas
    0.67
    illin
    0.66
    inar
    0.64
     to
    0.64
     timing
    0.62
     nevertheless
    0.62
    isively
    0.61
    inet
    0.61
    Activations Density 0.064%

    No Known Activations