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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. 1-RES-JB
    11. 5184
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    Explanations

    acronyms related to technology, particularly focusing on "IoT" and "OEM" in this case

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Internet of Things (IoT) concepts and original equipment manufacturers (OEMs) along with references to DUI incidents and HDR content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    flies
    -0.85
    backs
    -0.76
    clip
    -0.71
    craft
    -0.71
    chery
    -0.70
    throp
    -0.69
    weights
    -0.69
    folk
    -0.69
    away
    -0.68
    tenance
    -0.68
    POSITIVE LOGITS
     nomine
    1.00
    ullivan
    0.81
    FY
    0.79
    LA
    0.78
     lapt
    0.78
    VICE
    0.76
     OEM
    0.73
    IE
    0.73
    lyak
    0.73
     Chromebook
    0.71
    Activations Density 0.021%

    No Known Activations