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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. 10-RES-JB
    11. 5086
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    Explanations

    personal interactions and events involving meeting, giving, sharing, or discussing among individuals

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the pronoun "we" and its variations in the context of shared experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Pwr
    -0.68
    forms
    -0.65
    opic
    -0.64
    hap
    -0.63
    umes
    -0.63
    grave
    -0.62
    Products
    -0.61
    ocl
    -0.59
     Prediction
    -0.58
    Downloadha
    -0.58
    POSITIVE LOGITS
     parted
    1.14
     exchanged
    1.08
     both
    1.00
     bonded
    0.97
     talked
    0.95
    asley
    0.92
     mutually
    0.92
     joked
    0.92
     swapped
    0.91
     discussed
    0.90
    Activations Density 0.240%

    No Known Activations