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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. 9-RES-JB
    11. 1602
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    Explanations

    principles or policies

    oai_token-act-pair · gpt-3.5-turbo

    phrases that reference principles or policies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    handle
    -0.80
    ãĤ¼ãĤ¦ãĤ¹
    -0.77
    UX
    -0.74
    orthy
    -0.71
    paces
    -0.70
    HF
    -0.70
    ittees
    -0.67
    unit
    -0.65
    ptoms
    -0.65
    Catalog
    -0.64
    POSITIVE LOGITS
     neutrality
    0.97
     separat
    0.92
    clus
    0.91
     austerity
    0.91
     separation
    0.89
     protecting
    0.87
     electing
    0.86
     treating
    0.85
     avoiding
    0.85
     secrecy
    0.85
    Activations Density 0.207%

    No Known Activations