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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. 7-RES-JB
    11. 13802
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    Explanations

    comparative terms relating to size, such as "big," "small," and "large."

    oai_token-act-pair · gpt-3.5-turbo

    references to size, specifically focusing on terms indicating "big" or "large" versus "small."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    illance
    -0.78
    tsky
    -0.74
    cher
    -0.68
    icer
    -0.66
    Pont
    -0.66
    vous
    -0.66
     Yel
    -0.65
    adier
    -0.65
    WI
    -0.64
    inder
    -0.64
    POSITIVE LOGITS
     (>
    1.11
     (~
    1.02
     quantities
    0.96
     proportions
    0.92
     amounts
    0.90
     proportion
    0.85
     diameter
    0.81
     distances
    0.81
     compared
    0.79
     (<
    0.77
    Activations Density 0.143%

    No Known Activations