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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. 6-RES-JB
    11. 849
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    Explanations

    words related to examining, regulating, monitoring, treating, and processing

    oai_token-act-pair · gpt-3.5-turbo

    words associated with evaluation and oversight processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     arisen
    -0.64
    Lay
    -0.64
    fell
    -0.63
    Zone
    -0.63
    ties
    -0.62
    liction
    -0.62
    Found
    -0.61
    adra
    -0.61
    church
    -0.60
    hold
    -0.59
    POSITIVE LOGITS
     separately
    1.01
     differently
    0.92
     extensively
    0.88
     individually
    0.87
     electronically
    0.86
     anew
    0.84
     by
    0.82
    heet
    0.79
     accordingly
    0.78
     merciless
    0.78
    Activations Density 0.256%

    No Known Activations