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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. 7-RES-JB
    11. 18829
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    Explanations

    numerical values related to sports statistics

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     label
    -0.68
     urge
    -0.64
     tempt
    -0.63
     ledge
    -0.62
     menace
    -0.61
     lure
    -0.60
     downside
    -0.59
     Anders
    -0.58
     brunt
    -0.58
     stigma
    -0.58
    POSITIVE LOGITS
     increments
    0.97
     msec
    0.90
     fashion
    0.83
     milliseconds
    0.82
     nutshell
    0.81
     manner
    0.81
     respects
    0.80
     guise
    0.79
     quarters
    0.79
     places
    0.78
    Activations Density 0.109%

    No Known Activations