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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 1-RES-JB
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    Explanations

    occurrences of the word "tender"

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of tenderness

    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
     Kessler
    -0.72
     Greenwald
    -0.68
    arios
    -0.65
     Md
    -0.65
    EEK
    -0.64
    Rush
    -0.64
    CDC
    -0.64
    anwhile
    -0.64
     Phelps
    -0.62
     Hust
    -0.61
    POSITIVE LOGITS
     tender
    1.54
    lo
    0.92
    ness
    0.85
    lication
    0.84
     tiss
    0.81
    escent
    0.80
    heart
    0.79
     throats
    0.78
    istically
    0.75
    ggy
    0.74
    Activations Density 0.008%

    No Known Activations