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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. 9-RES-JB
    11. 23435
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    Explanations

    references to the concept of coins

    oai_token-act-pair · gpt-3.5-turbo

    references to coins or coin-related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ABE
    -0.71
     Abdel
    -0.63
    ————————
    -0.63
     Narr
    -0.63
     Atmosp
    -0.61
     Procedures
    -0.61
     SAP
    -0.59
     Comfort
    -0.59
     Syl
    -0.58
     footh
    -0.58
    POSITIVE LOGITS
     toss
    0.98
    age
    0.98
    apult
    0.94
     purse
    0.94
    urance
    0.91
    Desk
    0.91
    join
    0.91
     mint
    0.88
    wallet
    0.88
    ages
    0.86
    Activations Density 0.030%

    No Known Activations