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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. 4156
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    INDEX
    Explanations

    phrases related to competitive activities or victories

    oai_token-act-pair · gpt-3.5-turbo

    references to winning or being superior in contests or competitions

    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
    OPLE
    -0.83
    Austral
    -0.78
    orrow
    -0.75
    agher
    -0.69
     dams
    -0.67
    FG
    -0.66
     behavi
    -0.66
    ateral
    -0.65
    olson
    -0.64
    umatic
    -0.64
    POSITIVE LOGITS
    beat
    1.33
    Beat
    1.08
     beat
    1.02
    nik
    1.00
     Beat
    0.99
    boxing
    0.96
    heet
    0.88
    tle
    0.85
     beating
    0.85
     beaten
    0.83
    Activations Density 0.013%

    No Known Activations