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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. 21297
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and specific names related to individuals or entities

    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
     Nich
    -0.82
     Nicotine
    -0.82
     Nichols
    -0.80
     Maid
    -0.78
     symp
    -0.77
     Nicholson
    -0.76
    Nich
    -0.75
     Gina
    -0.71
     Coff
    -0.71
     Philips
    -0.70
    POSITIVE LOGITS
    ar
    2.01
    AR
    1.71
    ars
    1.64
    aro
    1.49
    aran
    1.43
    arp
    1.37
    arist
    1.36
    arat
    1.34
    aram
    1.32
    arak
    1.30
    Activations Density 0.161%

    No Known Activations