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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. 12-RES-JB
    11. 3740
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    INDEX
    Explanations

    technology-related features or characteristics

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    phrases indicating efficiency and ease of use

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    interstitial
    -0.71
    entric
    -0.69
    arling
    -0.65
    ogie
    -0.64
    nered
    -0.63
    icipated
    -0.62
    pires
    -0.62
    Occup
    -0.62
    igion
    -0.61
    jong
    -0.60
    POSITIVE LOGITS
     eliminates
    1.17
     saves
    1.08
     instantaneous
    1.07
     breeze
    1.03
     eliminating
    1.03
     savings
    1.02
     seamless
    1.01
     avoids
    1.00
     instantly
    0.98
     saving
    0.98
    Activations Density 0.670%

    No Known Activations