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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. 6-RES-JB
    11. 13856
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    Explanations

    proper nouns related to names or locations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "worth."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    PDATE
    -0.71
     Nou
    -0.66
     Ars
    -0.64
    ++++++++++++++++
    -0.64
    âĸ¬âĸ¬
    -0.61
     verbs
    -0.61
     heartbeat
    -0.60
    iolet
    -0.59
     Quit
    -0.58
     Verge
    -0.58
    POSITIVE LOGITS
    sworth
    1.08
    sung
    0.97
    umes
    0.93
    borough
    0.91
    worth
    0.89
    ume
    0.89
    nesses
    0.88
    endor
    0.87
    iness
    0.86
    ages
    0.85
    Activations Density 0.018%

    No Known Activations