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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. 9-RES-JB
    11. 3731
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    Explanations

    instances of numbers

    oai_token-act-pair · gpt-3.5-turbo

    quantities and statistics related to groups of people or items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    olson
    -0.66
    ffen
    -0.64
    ras
    -0.64
     nep
    -0.63
    alsh
    -0.61
     Received
    -0.61
    senal
    -0.60
     Tid
    -0.60
    ↵Âł
    -0.59
    john
    -0.57
    POSITIVE LOGITS
     dozen
    1.28
    dozen
    1.17
     hundred
    1.16
     lakh
    1.10
     thousand
    1.00
     million
    0.94
    thirds
    0.92
     thirds
    0.92
     billion
    0.88
     MILL
    0.86
    Activations Density 0.163%

    No Known Activations