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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. 19477
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    Explanations

    mentions of specific acronyms related to technology equipment or companies

    oai_token-act-pair · gpt-3.5-turbo

    abbreviations or acronyms related to specific entities or organizations

    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
     caution
    -0.68
     Spice
    -0.64
     ease
    -0.64
     speedy
    -0.63
    hai
    -0.59
     guiActive
    -0.58
     defense
    -0.58
    fully
    -0.58
    conf
    -0.58
     bloodstream
    -0.57
    POSITIVE LOGITS
    artney
    1.04
    OPLE
    0.98
    ISH
    0.97
    JD
    0.94
    HAEL
    0.93
    atcher
    0.93
    HCR
    0.92
    henko
    0.90
    KR
    0.90
    ISM
    0.88
    Activations Density 0.078%

    No Known Activations