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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. 18100
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    Explanations

    proper nouns related to various individuals and locations

    oai_token-act-pair · gpt-3.5-turbo

    words or phrases related to specific individuals or entities, particularly their names or titles

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
     recount
    -0.67
     innocence
    -0.67
    Constructed
    -0.64
     STATS
    -0.64
     Ou
    -0.61
     quar
    -0.59
     universes
    -0.58
     succession
    -0.58
     Buddy
    -0.58
     attendant
    -0.58
    POSITIVE LOGITS
    edo
    1.12
    oshenko
    0.99
    culosis
    0.86
    ttle
    0.85
    acco
    0.85
    obl
    0.85
    nel
    0.83
    anian
    0.81
    asury
    0.81
    bley
    0.80
    Activations Density 0.108%

    No Known Activations