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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. 2-RES-JB
    11. 5620
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    Explanations

    words related to lectures or lessons

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "select" and its derivatives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OPS
    -0.70
    AAF
    -0.66
     NCT
    -0.65
    WT
    -0.62
    ̶
    -0.60
    Definition
    -0.59
    OTA
    -0.58
    ccess
    -0.58
     annex
    -0.58
     crawl
    -0.58
    POSITIVE LOGITS
    lect
    1.02
    lections
    0.94
    rification
    0.92
    eor
    0.91
    ilus
    0.91
    ures
    0.89
    ļé
    0.88
    lected
    0.87
    ronics
    0.87
    ezvous
    0.84
    Activations Density 0.013%

    No Known Activations