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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. 3-RES-JB
    11. 9801
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    Explanations

    references to future events

    oai_token-act-pair · gpt-3.5-turbo

    references to future time periods and upcoming events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lees
    -0.76
    lee
    -0.66
     Feldman
    -0.66
    lua
    -0.64
     Poles
    -0.61
     Ventura
    -0.61
     Turks
    -0.61
    ocker
    -0.60
     Franch
    -0.60
     Buff
    -0.59
    POSITIVE LOGITS
     generation
    0.93
     decade
    0.92
     millenn
    0.89
     installment
    0.88
     week
    0.86
     step
    0.83
     generations
    0.83
     iteration
    0.82
     year
    0.79
    ĻĤ
    0.78
    Activations Density 0.037%

    No Known Activations