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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. 1-RES-JB
    11. 20886
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    Explanations

    keywords related to international activities or engagements

    oai_token-act-pair · gpt-3.5-turbo

    references to internships and interviews

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pless
    -0.85
    ocobo
    -0.81
    anced
    -0.80
    çļ
    -0.70
    WT
    -0.69
     bras
    -0.69
    åī
    -0.67
     biologists
    -0.66
    romy
    -0.66
    utics
    -0.66
    POSITIVE LOGITS
    ept
    0.86
     Interview
    0.82
    emouth
    0.80
    sie
    0.79
     Host
    0.79
    hran
    0.78
     Hots
    0.76
    stadt
    0.76
     Programme
    0.76
     Rent
    0.75
    Activations Density 0.020%

    No Known Activations