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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. 4-RES-JB
    11. 22467
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    INDEX
    Explanations

    mentions of specific locations or areas

    oai_token-act-pair · gpt-3.5-turbo

    references to political events and influences

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

    No Comments

    Negative Logits
     Chau
    -0.49
     Buk
    -0.48
     Aval
    -0.48
    OSS
    -0.47
    Stone
    -0.47
     Hung
    -0.47
     Gomez
    -0.46
    ESE
    -0.45
     Paddock
    -0.45
    ItemTracker
    -0.45
    POSITIVE LOGITS
     alike
    1.15
     respectively
    1.08
     accordingly
    1.06
     thereof
    1.06
     thereafter
    0.97
     therein
    0.88
     thereto
    0.88
     versa
    0.72
     attRot
    0.69
     afterward
    0.68
    Activations Density 3.343%

    No Known Activations