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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. 6-RES-JB
    11. 10664
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    Explanations

    phrases related to ensuring correctness or safety

    oai_token-act-pair · gpt-3.5-turbo

    phrases focused on ensuring safety and accountability

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BuyableInstoreAndOnline
    -0.87
    quickShipAvailable
    -0.79
     Hancock
    -0.77
    è¦ļéĨĴ
    -0.69
    ELD
    -0.64
     sqor
    -0.62
    EStreamFrame
    -0.60
    tumblr
    -0.60
    anon
    -0.59
    ARC
    -0.59
    POSITIVE LOGITS
    burse
    0.72
     uninterrupted
    0.70
    chie
    0.68
    uked
    0.68
     adequate
    0.67
    este
    0.67
     survives
    0.65
    rehensive
    0.65
    sylv
    0.64
     complied
    0.63
    Activations Density 0.208%

    No Known Activations