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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. 2779
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    Explanations

    phrases related to cleaning up a mess or a situation

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the concept of "cleaning up" or resolving 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
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    Negative Logits
    iw
    -0.67
    xtap
    -0.67
    grim
    -0.66
    gemony
    -0.65
     Rosenthal
    -0.63
    Ô
    -0.63
    mens
    -0.61
    Released
    -0.61
    ceivable
    -0.61
    men
    -0.61
    POSITIVE LOGITS
    river
    0.87
     shop
    0.68
    dates
    0.66
    brance
    0.64
    ulously
    0.63
    rights
    0.61
    eree
    0.60
    riages
    0.59
    icts
    0.58
     Hebdo
    0.57
    Activations Density 0.052%

    No Known Activations