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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. 7-RES-JB
    11. 14429
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    Explanations

    phrases related to improvement, enhancement, and strengthening

    oai_token-act-pair · gpt-3.5-turbo

    terms related to improvement and enhancement in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DragonMagazine
    -0.99
    mad
    -0.71
    iott
    -0.68
     hey
    -0.67
    thing
    -0.64
    bek
    -0.64
     screamed
    -0.64
    ombies
    -0.63
    alian
    -0.63
     laced
    -0.63
    POSITIVE LOGITS
     efficiency
    1.06
     productivity
    1.01
     competitiveness
    1.00
    uate
    0.95
     affordability
    0.93
     mobility
    0.89
     awareness
    0.86
     effic
    0.85
     Efficiency
    0.84
     transparency
    0.82
    Activations Density 0.154%

    No Known Activations