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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. 12-RES-JB
    11. 3926
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    Explanations

    numerical values found in technical contexts

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    terms related to data processing and calculations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ¥µ
    -0.66
    TPP
    -0.65
    aughs
    -0.63
    urai
    -0.62
    orgetown
    -0.61
    ļéĨĴ
    -0.59
    ij士
    -0.59
    quickShipAvailable
    -0.59
     Founding
    -0.58
     Others
    -0.57
    POSITIVE LOGITS
     separately
    1.18
     automatically
    1.13
     using
    1.07
     manually
    1.06
     statically
    1.05
     dynamically
    1.04
     centrally
    1.02
     ident
    0.99
     individually
    0.99
     periodically
    0.97
    Activations Density 0.266%

    No Known Activations