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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. 4-RES-JB
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    Explanations

    names with the common pattern "lor" in them

    oai_token-act-pair · gpt-3.5-turbo

    the word "lor," likely indicating a focus on the term "law" or legal concepts in various contexts

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

    No Comments

    Negative Logits
     Governments
    -0.74
    ³³³³³³³³
    -0.73
    ³³³
    -0.71
    giving
    -0.71
     Eliot
    -0.69
    XT
    -0.68
    OPLE
    -0.67
     Mavericks
    -0.67
     Somali
    -0.67
    ³³
    -0.66
    POSITIVE LOGITS
    iculture
    1.15
    oso
    0.93
    ifax
    0.93
    oqu
    0.93
    ion
    0.92
    antha
    0.90
    ights
    0.90
    ibrary
    0.89
    fman
    0.89
    inated
    0.88
    Activations Density 0.014%

    No Known Activations