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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. 10-RES-JB
    6. 16813
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    Explanations

    phrases related to new methods or opportunities for innovation

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating personal experiences or new opportunities

    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
    rake
    -0.58
     arrang
    -0.56
    ammy
    -0.55
     issuance
    -0.55
     Ammo
    -0.54
     scapego
    -0.51
    urated
    -0.51
    isbury
    -0.51
     sided
    -0.51
     appointing
    -0.50
    POSITIVE LOGITS
     otherwise
    1.20
     hitherto
    1.15
     previously
    1.09
     sorely
    1.07
     unheard
    1.03
     seldom
    1.02
     hadn
    1.02
     unimaginable
    1.01
     never
    1.00
     scarcely
    0.97
    Activations Density 0.320%

    No Known Activations