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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. 0-RES-JB
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    Explanations

    references to the term "Twin" followed by various context-specific information within a document

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "Twin" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    merce
    -0.73
     chalk
    -0.71
    uterte
    -0.69
    nesty
    -0.66
     cmd
    -0.66
    akh
    -0.64
    aram
    -0.64
    chy
    -0.64
     api
    -0.64
    AFP
    -0.64
    POSITIVE LOGITS
     Twin
    4.14
     Twins
    2.15
     twin
    1.88
     twins
    1.36
    Tw
    1.35
     Minneapolis
    1.24
     Twisted
    1.18
     Fargo
    1.10
    Minnesota
    1.10
     Lynch
    1.09
    Activations Density 0.006%

    No Known Activations