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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. 3-RES-JB
    11. 16188
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    Explanations

    words related to enjoyment or having 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 @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Centauri
    -0.75
     bottleneck
    -0.70
     Transparency
    -0.66
    ership
    -0.65
    yards
    -0.64
    士
    -0.64
     defic
    -0.63
     prophets
    -0.62
    Minimum
    -0.62
    Condition
    -0.61
    POSITIVE LOGITS
    nels
    1.35
    eral
    1.06
    gal
    1.03
    nell
    1.03
    nel
    0.99
     fun
    0.92
    ctor
    0.88
    ney
    0.81
    ctions
    0.80
    icular
    0.79
    Activations Density 0.015%

    No Known Activations