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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 18947
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    Explanations

    proper nouns, especially names and places

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names and organizations

    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
     SAP
    -0.91
     Huck
    -0.87
     Tib
    -0.86
     Carib
    -0.84
     Saf
    -0.83
     Ske
    -0.81
     Sig
    -0.80
     Fah
    -0.79
     Sett
    -0.78
     ABE
    -0.77
    POSITIVE LOGITS
    ons
    1.58
    on
    1.52
    ON
    1.51
    onian
    1.42
    onal
    1.42
    oning
    1.41
    onis
    1.40
    oni
    1.39
    ONS
    1.36
    onia
    1.34
    Activations Density 0.207%

    No Known Activations