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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. 4-RES-JB
    11. 4613
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    Explanations

    terms related to outperforming or excelling

    oai_token-act-pair · gpt-3.5-turbo

    words related to outperforming or exceeding expectations

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

    No Comments

    Negative Logits
     Geneva
    -0.78
    RAW
    -0.64
     Authorization
    -0.63
    Maps
    -0.62
     Kah
    -0.60
     Franch
    -0.60
     Origins
    -0.60
     Advent
    -0.60
    eur
    -0.59
    andro
    -0.59
    POSITIVE LOGITS
    performing
    0.99
    ceed
    0.95
     outper
    0.94
    imates
    0.84
    rolet
    0.83
    ienced
    0.80
    formed
    0.79
    onent
    0.75
    atility
    0.74
    mented
    0.74
    Activations Density 0.006%

    No Known Activations