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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. 1812
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    Explanations

    descriptions of historical or significant locations and objects

    oai_token-act-pair · gpt-3.5-turbo

    references to significant entities or notable 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
    idelines
    -0.83
    respons
    -0.81
    termination
    -0.81
    Methods
    -0.79
    Solution
    -0.78
    anamo
    -0.77
    Ĭ±
    -0.77
    Effects
    -0.75
    enges
    -0.74
    obyl
    -0.74
    POSITIVE LOGITS
     venerable
    1.14
     magnificent
    1.07
     iconic
    1.03
     versatile
    1.02
    worldly
    0.99
     masterpiece
    0.98
     gorgeous
    0.98
     particular
    0.98
     enigmatic
    0.97
     amazing
    0.97
    Activations Density 0.269%

    No Known Activations