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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. 2856
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    proper nouns and specific entities mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    the end of a document

    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
    ÏĢ
    -0.72
    ãĤĭ
    -0.68
    âĢ¦âĢ¦
    -0.66
    âĢ¦.
    -0.65
    ����
    -0.64
    !.
    -0.63
    .</
    -0.63
    âĢij
    -0.62
    Ïī
    -0.62
    1200
    -0.62
    POSITIVE LOGITS
    resa
    1.50
    odore
    1.47
    oret
    1.37
    ories
    1.12
    nce
    1.05
     downside
    1.00
     irony
    0.99
     latter
    0.98
     latest
    0.97
     simplest
    0.95
    Activations Density 0.412%

    No Known Activations