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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. 1-RES-JB
    11. 16046
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    Explanations

    references to various challenges or contests

    oai_token-act-pair · gpt-3.5-turbo

    references to challenges and stages, often in a competitive or performance context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    */(
    -0.83
    İĭ
    -0.80
    livion
    -0.75
    lisher
    -0.75
    äºĶ
    -0.74
    matically
    -0.71
    olson
    -0.71
    iannopoulos
    -0.70
    assetsadobe
    -0.70
    tesy
    -0.68
    POSITIVE LOGITS
     Selection
    1.15
     Shots
    1.01
     Room
    0.99
     Machines
    0.98
     Locations
    0.98
     Mode
    0.97
     Parties
    0.96
     Club
    0.94
     Result
    0.93
     Factor
    0.93
    Activations Density 0.055%

    No Known Activations