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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. 8-RES-JB
    11. 11439
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    Explanations

    numeric values often related to dates or codes

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and identifiers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     waiter
    -0.63
     CONTIN
    -0.63
     Sands
    -0.61
     appeal
    -0.61
     exha
    -0.61
     SUPPORT
    -0.60
     retina
    -0.60
     procession
    -0.60
     masked
    -0.60
     assumptions
    -0.59
    POSITIVE LOGITS
    hex
    0.89
    chev
    0.89
    hyde
    0.87
    soever
    0.85
    Ever
    0.83
    kid
    0.82
    ever
    0.81
    20439
    0.80
    nian
    0.79
    Edit
    0.78
    Activations Density 0.089%

    No Known Activations