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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. 6-RES-JB
    11. 9174
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    Explanations

    relevant to gaming

    oai_token-act-pair · gpt-3.5-turbo

    references to gaming and related activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    von
    -0.86
    drawn
    -0.81
     Debor
    -0.78
    inators
    -0.75
    geries
    -0.72
    ioxide
    -0.70
    ages
    -0.69
    graded
    -0.68
    usions
    -0.68
    escription
    -0.68
    POSITIVE LOGITS
     consoles
    1.01
     peripher
    0.90
     prowess
    0.89
     sensation
    0.87
     headsets
    0.83
     enthusiasts
    0.83
     goggles
    0.82
     gamers
    0.81
     videog
    0.81
    manship
    0.80
    Activations Density 0.013%

    No Known Activations