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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. 4-RES-JB
    6. 4937
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    Explanations

    the word "rig" with varying degrees of intensity

    oai_token-act-pair · gpt-3.5-turbo

    occurrences and variations of the word "rig."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Dot
    -0.81
     Hots
    -0.74
     Peninsula
    -0.74
     Upton
    -0.68
     kHz
    -0.68
     Cf
    -0.65
     Franch
    -0.65
     Apostle
    -0.63
     Malays
    -0.63
     Pesh
    -0.63
    POSITIVE LOGITS
    orously
    1.67
    idity
    1.12
     rig
    1.11
    gers
    1.04
    rig
    1.00
    rador
    0.95
    aton
    0.91
     rigs
    0.89
    gins
    0.89
    yrinth
    0.88
    Activations Density 0.011%

    No Known Activations