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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. 5256
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    Explanations

    well wishes and expressions of good luck towards someone

    oai_token-act-pair · gpt-3.5-turbo

    expressions of well-wishing and positive sentiments towards individuals

    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
    Not in Any Lists

    No Comments

    Negative Logits
    anto
    -0.78
    ongh
    -0.72
     ILCS
    -0.72
     ELE
    -0.63
     Cosponsors
    -0.60
    ethy
    -0.59
    esm
    -0.57
    */(
    -0.55
    ighters
    -0.55
     plank
    -0.54
    POSITIVE LOGITS
     luck
    0.95
     farewell
    0.89
    eday
    0.88
     hereafter
    0.84
     misfortune
    0.76
     someday
    0.76
     happ
    0.76
     patience
    0.75
     afterlife
    0.75
    Appearances
    0.74
    Activations Density 0.098%

    No Known Activations