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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. 11-RES-JB
    11. 13779
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    Explanations

    the number 'two' in different textual contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to pairs or groups of people

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    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
    ugu
    -0.88
    isite
    -0.81
    ļéĨĴ
    -0.79
    inventoryQuantity
    -0.78
    illus
    -0.76
    unct
    -0.75
    thal
    -0.74
    igslist
    -0.72
    urgy
    -0.72
    isine
    -0.72
    POSITIVE LOGITS
     men
    1.46
     gentlemen
    1.15
     boys
    1.10
     women
    1.06
     were
    1.06
     businessmen
    1.04
     teamed
    1.04
     combatants
    1.02
     guys
    1.01
     enjoyed
    0.99
    Activations Density 0.118%

    No Known Activations