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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. 1-RES-JB
    11. 969
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    INDEX
    Explanations

    mentions of or references to high-quality or top-tier status

    oai_token-act-pair · gpt-3.5-turbo

    references to classification or categorization systems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     diffuse
    -0.67
     Bundy
    -0.67
     spur
    -0.66
     galvan
    -0.64
     biting
    -0.64
     frequent
    -0.63
     unsett
    -0.63
     uncertain
    -0.63
     fixation
    -0.61
     sudden
    -0.60
    POSITIVE LOGITS
    class
    1.30
    classes
    1.13
    ifications
    1.13
    ifiers
    1.11
    ification
    1.06
    ify
    1.05
    ifier
    1.03
    ifying
    1.02
    ified
    1.01
    Class
    0.98
    Activations Density 0.008%

    No Known Activations