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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 9008
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    Explanations

    proper acronyms or abbreviations related to organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to specific organizations or councils

    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
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    Negative Logits
    ance
    -0.84
    URA
    -0.73
    ãĤ¢ãĥ«
    -0.71
    Wire
    -0.71
     Colt
    -0.70
    etr
    -0.69
    Side
    -0.68
    AAAA
    -0.68
     Tarant
    -0.67
    sson
    -0.67
    POSITIVE LOGITS
     CPC
    0.98
    ocobo
    0.76
    akings
    0.75
    odore
    0.72
    artney
    0.68
     primates
    0.68
    rador
    0.65
     corrected
    0.65
    devices
    0.65
     leaflets
    0.65
    Activations Density 0.001%

    No Known Activations