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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. 8-RES-JB
    11. 10288
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    INDEX
    Explanations

    descriptions of challenges and adventures in various scenarios

    oai_token-act-pair · gpt-3.5-turbo

    action-oriented phrases related to gameplay and adventure experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Correction
    -0.80
    inventoryQuantity
    -0.76
    catentry
    -0.76
     exceptions
    -0.73
    else
    -0.69
     exception
    -0.68
    issues
    -0.67
    oil
    -0.67
     leakage
    -0.66
    politics
    -0.65
    POSITIVE LOGITS
     simulated
    0.97
     immersive
    0.92
     thrilling
    0.91
     mesmer
    0.87
     unforgettable
    0.85
     proced
    0.82
     guided
    0.81
    eaturing
    0.81
     customize
    0.79
     immersed
    0.78
    Activations Density 0.674%

    No Known Activations