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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. 10-RES-JB
    11. 13571
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    Explanations

    names or words related to people's identities

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and names of people or entities

    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
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    No Comments

    Negative Logits
    WINDOWS
    -0.83
     IX
    -0.81
     powd
    -0.81
    çĦ
    -0.81
     Sup
    -0.80
     Instr
    -0.78
     OCT
    -0.76
    س
    -0.76
     NEC
    -0.74
     NB
    -0.74
    POSITIVE LOGITS
    er
    1.74
    ER
    1.55
    ers
    1.48
    erker
    1.37
    ler
    1.35
    eric
    1.28
    ller
    1.27
    uer
    1.27
    erer
    1.24
    zer
    1.23
    Activations Density 0.188%

    No Known Activations