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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. 17688
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    INDEX
    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    references to organizational entities and their initiatives

    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
    20439
    -0.82
    APD
    -0.82
    LOD
    -0.81
     elsewhere
    -0.75
    ghazi
    -0.73
    atonin
    -0.72
    akable
    -0.71
    inventoryQuantity
    -0.71
    ratom
    -0.69
    Scotland
    -0.69
    POSITIVE LOGITS
     aim
    1.28
     goal
    1.26
     purpose
    1.16
     motto
    1.11
     idea
    1.10
     premise
    1.05
     objective
    1.03
     project
    1.03
     overarching
    1.00
     centerpiece
    1.00
    Activations Density 0.402%

    No Known Activations