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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. 8386
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    Explanations

    words related to caution, transparency, and guidelines

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to safety and caution

    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
     Despair
    -0.76
    terness
    -0.75
     Klux
    -0.72
    lehem
    -0.72
    txt
    -0.71
    lite
    -0.69
    govtrack
    -0.68
     peaked
    -0.67
    clair
    -0.66
     nob
    -0.65
    POSITIVE LOGITS
     dealings
    1.24
     decisions
    1.17
     interactions
    1.08
     entrusted
    1.00
     activities
    0.99
     investments
    0.98
     purchases
    0.97
     handling
    0.96
     conduct
    0.96
     procurement
    0.96
    Activations Density 0.512%

    No Known Activations