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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
    11. 18590
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    INDEX
    Explanations

    phrases related to presenting arguments or viewpoints

    oai_token-act-pair · gpt-3.5-turbo

    references to arguments and their supporting claims

    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
    oho
    -0.75
    ummer
    -0.75
    cler
    -0.73
    eco
    -0.71
     stocking
    -0.69
     sight
    -0.68
     stocked
    -0.64
    appy
    -0.64
    ookie
    -0.63
     livest
    -0.63
    POSITIVE LOGITS
     arguments
    1.12
     argument
    1.03
    uments
    1.02
    argument
    0.89
    ative
    0.87
     arguing
    0.86
    ļéĨĴ
    0.81
     deduction
    0.80
    ãĤ¦ãĤ¹
    0.79
     Argument
    0.76
    Activations Density 0.020%

    No Known Activations