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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. 10-RES-JB
    11. 6304
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    INDEX
    Explanations

    keywords related to relevance

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of relevance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cker
    -0.70
    airs
    -0.70
    oise
    -0.68
    riage
    -0.68
    boat
    -0.67
    ãĥīãĥ©
    -0.67
    rican
    -0.66
    rie
    -0.65
    rette
    -0.64
    IDES
    -0.64
    POSITIVE LOGITS
     footnote
    0.93
     thereto
    0.78
     relevance
    0.75
     contextual
    0.73
     context
    0.70
     considerations
    0.69
     factor
    0.69
     pertinent
    0.68
     questions
    0.67
     material
    0.67
    Activations Density 0.057%

    No Known Activations