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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. 10-RES-JB
    11. 10198
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    Explanations

    numbers with 'w' in the middle

    oai_token-act-pair · gpt-3.5-turbo

    terms related to power generation and energy measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Leilan
    -0.87
    enegger
    -0.85
     Rabbit
    -0.74
     backstage
    -0.71
     Cha
    -0.67
     Bj
    -0.67
     Schwarzenegger
    -0.65
     Baal
    -0.63
     Reconstruction
    -0.61
     Scand
    -0.61
    POSITIVE LOGITS
    pload
    1.31
    atts
    1.18
    att
    1.10
    pees
    1.07
    uries
    1.02
    poons
    1.00
    illion
    0.97
    maximum
    0.96
    ixels
    0.91
    ounds
    0.91
    Activations Density 0.042%

    No Known Activations