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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. 9-RES-JB
    6. 10696
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    Explanations

    mathematical notations

    oai_token-act-pair · gpt-3.5-turbo

    symbols and mathematical notation

    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
    cific
    -0.68
    ylon
    -0.63
    CVE
    -0.62
     overt
    -0.61
    OTA
    -0.61
    utt
    -0.61
     categ
    -0.60
    uttering
    -0.59
    iatrics
    -0.59
     unders
    -0.59
    POSITIVE LOGITS
     |
    2.26
    |
    1.88
    -|
    1.37
     ||
    1.36
     }}
    1.32
    ||
    1.21
    )|
    1.21
     [|
    1.17
     ¯
    1.16
    [/
    1.08
    Activations Density 0.080%

    No Known Activations