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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. 11-RES-JB
    11. 13353
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    INDEX
    Explanations

    phrases related to caution and potential consequences

    oai_token-act-pair · gpt-3.5-turbo

    elements related to moral or ethical concepts and decisions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    chev
    -0.81
     WTC
    -0.81
     swast
    -0.77
    kefeller
    -0.74
     Stalin
    -0.71
    Lenin
    -0.71
    é¾
    -0.71
    chwitz
    -0.69
    Nazi
    -0.69
    rams
    -0.68
    POSITIVE LOGITS
     hath
    1.09
     afore
    1.01
     thence
    1.00
     Edition
    0.99
     tho
    0.98
     hereafter
    0.97
     warr
    0.94
     requisite
    0.92
     cous
    0.92
     thereof
    0.91
    Activations Density 0.123%

    No Known Activations