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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. 7-RES-JB
    11. 17798
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    Explanations

    different types of bias

    oai_token-act-pair · gpt-3.5-turbo

    various forms of bias and their implications in different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ©ãĥ³
    -0.76
    ãĤ¦ãĤ¹
    -0.65
    vernment
    -0.65
    wealth
    -0.58
    ergy
    -0.57
    humane
    -0.57
    è¿
    -0.57
    timer
    -0.57
    Reviewer
    -0.56
    abba
    -0.56
    POSITIVE LOGITS
    IU
    0.60
     (-
    0.57
    alion
    0.56
     (âĪĴ
    0.56
    anu
    0.56
    Thunder
    0.55
    alogue
    0.55
     hers
    0.55
     (+
    0.55
     (/
    0.54
    Activations Density 0.840%

    No Known Activations