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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. 9733
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    Explanations

    phrases related to the action of removing or eliminating something

    oai_token-act-pair · gpt-3.5-turbo

    references to removal or elimination of various elements or issues

    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
    yssey
    -0.85
    hof
    -0.81
    Merit
    -0.73
    SPONSORED
    -0.72
    icion
    -0.71
    EStream
    -0.71
    erity
    -0.69
    wb
    -0.69
    代
    -0.68
     Drawn
    -0.68
    POSITIVE LOGITS
     veil
    1.08
     altogether
    0.98
     inhib
    0.95
     superflu
    0.94
     incrim
    0.92
     unwanted
    0.91
     unnecessary
    0.90
     traces
    0.90
     redundant
    0.90
     curtain
    0.90
    Activations Density 0.203%

    No Known Activations