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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

    references to numerical identifiers within text

    oai_token-act-pair · gpt-3.5-turbo

    numerical data related to years and specific statistics

    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
     tradem
    -0.98
    achus
    -0.87
     millenn
    -0.87
    ktop
    -0.84
    umn
    -0.75
    ¥µ
    -0.72
    ¥ŀ
    -0.71
    ĻĤ
    -0.69
    holders
    -0.69
    opsy
    -0.68
    POSITIVE LOGITS
    rd
    0.96
    arians
    0.83
    017
    0.81
    491
    0.80
    atche
    0.79
     ILCS
    0.78
    00
    0.77
    awks
    0.77
    naire
    0.76
    abal
    0.74
    Activations Density 0.050%

    No Known Activations