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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. 0-RES-JB
    11. 10476
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    Explanations

    acronyms or abbreviations with 'ORT'

    oai_token-act-pair · gpt-3.5-turbo

    abbreviations or acronyms related to specific contexts, particularly in technical or organizational settings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itiz
    -0.69
    vin
    -0.69
    seed
    -0.68
    bys
    -0.68
     Apostles
    -0.66
    kees
    -0.65
    cum
    -0.64
     Nib
    -0.63
    hea
    -0.61
    igree
    -0.61
    POSITIVE LOGITS
    ORT
    4.11
    ORTS
    2.35
    ENS
    1.58
    PORT
    1.55
    INK
    1.38
    ULL
    1.35
    EAR
    1.32
    OULD
    1.31
    ONG
    1.29
    ITT
    1.28
    Activations Density 0.015%

    No Known Activations