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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. 15940
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    Explanations

    instances where processes are mentioned or discussed

    oai_token-act-pair · gpt-3.5-turbo

    references to various processes, particularly in legal and organizational contexts

    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
    lar
    -0.66
     earnest
    -0.66
    otto
    -0.65
    hiro
    -0.65
    IGHTS
    -0.63
     disposable
    -0.62
     trad
    -0.62
     stake
    -0.61
    collar
    -0.59
    akening
    -0.59
    POSITIVE LOGITS
    ional
    1.07
    ioned
    0.81
     process
    0.80
    ions
    0.78
    DragonMagazine
    0.77
    utics
    0.77
    ebin
    0.74
     Process
    0.74
    naires
    0.73
     processes
    0.72
    Activations Density 0.028%

    No Known Activations