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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. 11-RES-JB
    11. 5380
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    Explanations

    specific named entities or brands

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and specific cultural references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ,,,,
    -0.63
    theless
    -0.63
     ordinarily
    -0.61
     unmarried
    -0.57
     else
    -0.57
     supposed
    -0.57
     extraord
    -0.57
     âĵĺ
    -0.56
    ,[
    -0.55
     wise
    -0.55
    POSITIVE LOGITS
    onian
    0.84
    yssey
    0.83
     Awards
    0.77
     playbook
    0.75
     lineup
    0.73
    ossier
    0.68
    idelines
    0.67
     hashtag
    0.66
     curriculum
    0.66
     logo
    0.65
    Activations Density 0.628%

    No Known Activations