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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. 3-RES-JB
    11. 10811
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    Explanations

    slogans and mottos

    oai_token-act-pair · gpt-3.5-turbo

    terms related to slogans and mottos

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oles
    -0.65
    udder
    -0.63
    dit
    -0.62
    ĻĤ
    -0.61
    ajor
    -0.60
    biased
    -0.60
    ersen
    -0.60
    eren
    -0.59
     Cosponsors
    -0.58
    hari
    -0.58
    POSITIVE LOGITS
     slogan
    1.30
     slogans
    1.19
     proclaiming
    0.90
     motto
    0.89
     goodbye
    0.84
    terday
    0.75
    etsu
    0.73
     chanted
    0.71
     phrase
    0.70
     maxim
    0.69
    Activations Density 0.009%

    No Known Activations