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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. 9-RES-JB
    11. 1791
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    Explanations

    expressions of gratitude and appreciation

    oai_token-act-pair · gpt-3.5-turbo

    expressions of gratitude and appreciation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    apeshifter
    -0.79
    agin
    -0.70
     hybrids
    -0.70
    ewitness
    -0.63
    æѦ
    -0.63
    uously
    -0.62
     predicted
    -0.61
     infiltr
    -0.61
     abduct
    -0.61
     inver
    -0.60
    POSITIVE LOGITS
     Thank
    1.35
     Thanks
    1.19
     Congratulations
    1.18
     Hopefully
    1.12
     THANK
    1.09
    Thank
    1.03
     Especially
    1.02
     Merry
    1.01
    Congratulations
    1.00
    Thanks
    0.99
    Activations Density 0.327%

    No Known Activations