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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. 22000
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    Explanations

    references to various museums and states

    oai_token-act-pair · gpt-3.5-turbo

    references to state government entities and museums

    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
     Characters
    -1.09
     Spread
    -1.08
     Parties
    -1.08
     Treatment
    -1.07
     Expression
    -1.06
     Habit
    -1.06
     Crew
    -1.04
     Balls
    -1.04
     Background
    -1.04
     Opposition
    -1.04
    POSITIVE LOGITS
     americ
    1.24
     english
    1.05
     aust
    1.05
     senate
    1.05
     commons
    1.03
     chancellor
    1.01
     queen
    1.00
     king
    0.98
     knight
    0.95
     princ
    0.95
    Activations Density 0.570%

    No Known Activations