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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 6980
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    Explanations

    words related to enjoyment, pleasure, and fun

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "fun."

    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
    attle
    -0.73
    ainer
    -0.64
     bottleneck
    -0.63
     insufficient
    -0.60
     broken
    -0.60
     Centauri
    -0.59
    idency
    -0.59
    reditation
    -0.58
     complicit
    -0.58
    Minimum
    -0.58
    POSITIVE LOGITS
    nels
    1.31
     fun
    1.06
    gal
    0.95
    nell
    0.93
    nel
    0.93
    ctor
    0.90
    eral
    0.82
    oons
    0.81
    ctions
    0.80
    icular
    0.76
    Activations Density 0.016%

    No Known Activations