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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. 16540
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    Explanations

    terms related to possible situations or events that could occur

    oai_token-act-pair · gpt-3.5-turbo

    words related to various scenarios or hypothetical situations

    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
    ī
    -0.90
    nuts
    -0.85
    ances
    -0.84
    aina
    -0.80
    omp
    -0.74
    alties
    -0.73
    nect
    -0.73
    aches
    -0.72
    pin
    -0.71
    stones
    -0.71
    POSITIVE LOGITS
     scenario
    1.17
     scenarios
    1.10
     simulations
    0.98
     simulated
    0.83
     simulate
    0.80
     simulation
    0.76
     2022
    0.76
     envis
    0.76
     projections
    0.76
     Simulation
    0.76
    Activations Density 0.099%

    No Known Activations