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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. 4-RES-JB
    11. 2473
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    Explanations

    acronyms related to original equipment manufacturers (OEM)

    oai_token-act-pair · gpt-3.5-turbo

    references to Original Equipment Manufacturers (OEMs) and related technical terms

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

    No Comments

    Negative Logits
    iasis
    -0.91
    tenance
    -0.77
    backs
    -0.76
    ibia
    -0.75
    idem
    -0.75
    notations
    -0.75
    fold
    -0.72
    lift
    -0.71
    Austral
    -0.70
     abdom
    -0.70
    POSITIVE LOGITS
    PDATE
    0.98
    HO
    0.96
    YL
    0.91
    YA
    0.91
    PU
    0.90
    FIX
    0.89
    UE
    0.88
    MI
    0.88
    VICE
    0.87
    VE
    0.87
    Activations Density 0.026%

    No Known Activations