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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. 9-RES-JB
    11. 24099
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    Explanations

    phrases related to the timing of events and actions

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the verbs "have," "has," and "had."

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    soType
    -0.69
     withholding
    -0.59
     hostage
    -0.59
     intrig
    -0.58
    ItemThumbnailImage
    -0.58
     mistake
    -0.55
     believer
    -0.55
    note
    -0.54
    ARP
    -0.54
    alias
    -0.53
    POSITIVE LOGITS
     gotten
    1.12
     gone
    1.09
     been
    1.07
     begun
    1.07
     risen
    1.04
     fallen
    1.04
    been
    0.99
     finished
    0.97
     become
    0.96
     arrived
    0.95
    Activations Density 0.221%

    No Known Activations