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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. 10-RES-JB
    11. 18485
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    Explanations

    proper nouns or names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "who" indicating references to people or characters in the narrative

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     concluding
    -0.66
     VIDEOS
    -0.65
     Anything
    -0.64
     beginning
    -0.60
     chronological
    -0.59
     beginnings
    -0.57
     marathon
    -0.56
     stressing
    -0.56
     Ending
    -0.56
     Beginning
    -0.55
    POSITIVE LOGITS
    upon
    1.13
     specializes
    1.08
     resides
    1.02
     resembled
    0.99
     resembles
    0.99
     resided
    0.97
     owns
    0.96
     possesses
    0.94
     knows
    0.92
     incidentally
    0.92
    Activations Density 0.179%

    No Known Activations