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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. 11-RES-JB
    11. 13382
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    Explanations

    actions related to physical training and competition

    oai_token-act-pair · gpt-3.5-turbo

    terms related to racing and competition

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    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
    DragonMagazine
    -0.66
    abling
    -0.66
    terness
    -0.62
    nel
    -0.61
    article
    -0.61
    rin
    -0.60
    achment
    -0.59
    phal
    -0.59
    issue
    -0.57
    ppings
    -0.57
    POSITIVE LOGITS
     alongside
    1.20
     extensively
    1.05
     professionally
    1.00
     abroad
    0.95
     beside
    0.91
     against
    0.91
     internationally
    0.90
     tirelessly
    0.87
     separately
    0.85
     together
    0.84
    Activations Density 0.223%

    No Known Activations