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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. 9319
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    Explanations

    references to the name "Hay" followed by a number from 8 to 10

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Hay" and its variations in different contexts

    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
    $$$$
    -0.71
     Gutenberg
    -0.67
     laps
    -0.66
    wcs
    -0.66
     concurrently
    -0.64
     vit
    -0.64
     submarines
    -0.64
     perman
    -0.63
     anat
    -0.61
    ITIES
    -0.61
    POSITIVE LOGITS
    stack
    1.28
    ashi
    1.22
    nes
    1.20
    dn
    1.19
    wire
    1.14
    ride
    1.06
    market
    1.01
    maker
    1.00
    den
    0.98
    ek
    0.97
    Activations Density 0.042%

    No Known Activations