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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. 12451
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    Explanations

    technical terms related to various fields, such as environmental science, transportation, psychology, and surgery

    oai_token-act-pair · gpt-3.5-turbo

    terms related to various forms of analysis and assessment

    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
    thora
    -0.78
    etheless
    -0.67
    entary
    -0.66
    itty
    -0.66
    IUM
    -0.66
    otto
    -0.66
     Grounds
    -0.66
    ulla
    -0.65
    enta
    -0.63
    aha
    -0.63
    POSITIVE LOGITS
     restoration
    1.28
     stabilization
    1.23
     reconstruction
    1.21
     monitoring
    1.20
     modification
    1.18
     analysis
    1.15
     enhancement
    1.12
     management
    1.10
     manipulation
    1.10
     verification
    1.09
    Activations Density 0.532%

    No Known Activations