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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. 23355
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    Explanations

    references to physical structures like dams, forts, and dorms

    oai_token-act-pair · gpt-3.5-turbo

    references to structures or locations related to dams and fortifications

    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
     lawy
    -0.64
     advant
    -0.61
     VID
    -0.61
     Flavoring
    -0.60
     RNA
    -0.59
     rall
    -0.57
     Jagu
    -0.57
     rationality
    -0.57
     unlaw
    -0.56
     bom
    -0.56
    POSITIVE LOGITS
    mers
    1.10
    ming
    1.02
    cher
    1.02
    der
    1.00
    ting
    0.99
    stration
    0.98
    sel
    0.96
    itory
    0.96
    med
    0.93
    gression
    0.92
    Activations Density 0.469%

    No Known Activations