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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. 4-RES-JB
    11. 8531
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    Explanations

    phrases related to the removal of objects or entities

    oai_token-act-pair · gpt-3.5-turbo

    references to removal or elimination of something

    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
    INFO
    -0.67
    nai
    -0.64
    wat
    -0.63
    nis
    -0.62
    enos
    -0.60
    ppa
    -0.60
    SPONSORED
    -0.60
    swer
    -0.60
    CHO
    -0.59
    ahead
    -0.59
    POSITIVE LOGITS
     altogether
    0.95
     entirely
    0.79
     pesky
    0.74
     entirety
    0.69
     outright
    0.68
     unnecessary
    0.67
     centrif
    0.67
     veil
    0.67
     superflu
    0.67
     existing
    0.67
    Activations Density 0.412%

    No Known Activations