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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. 2-RES-JB
    11. 750
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    Explanations

    words pertaining to institutions, authority, or formal entities

    oai_token-act-pair · gpt-4-turbo

    legal and political terms or phrases

    oai_token-act-pair · gpt-3.5-turbo

    references to legal and governmental institutions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ño
    -0.51
    arnaev
    -0.48
    eday
    -0.47
    uilt
    -0.46
    owicz
    -0.46
    Downloadha
    -0.46
    uably
    -0.43
    çīĪ
    -0.42
    ãĥ¼ãĥ³
    -0.42
    OVA
    -0.42
    POSITIVE LOGITS
    min
    0.44
    bos
    0.43
    IRE
    0.41
    terness
    0.40
     periphery
    0.39
    duc
    0.37
     persuasion
    0.37
    reach
    0.37
    chem
    0.37
     chars
    0.36
    Activations Density 7.469%

    No Known Activations