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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. 2688
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    Explanations

    prepositions in sentences as well as words related to criticism

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "for" in various contexts, especially in relation to criticism or accountability

    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
    atl
    -0.80
     awaits
    -0.77
    OTAL
    -0.73
    wang
    -0.68
    edin
    -0.65
    ern
    -0.64
    Center
    -0.62
     denotes
    -0.62
    NET
    -0.61
    Gi
    -0.61
    POSITIVE LOGITS
     daring
    1.02
     inaction
    0.93
    geries
    0.88
     failing
    0.86
     lack
    0.84
    bidden
    0.83
     abandoning
    0.83
     centuries
    0.82
     exercising
    0.78
     being
    0.78
    Activations Density 0.103%

    No Known Activations