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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. 6-RES-JB
    11. 17455
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    Explanations

    numerical data related to quantities of people or objects

    oai_token-act-pair · gpt-3.5-turbo

    phrases and statistics about the number of people or quantities in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cffffcc
    -0.94
    ĪĴ
    -0.91
    utics
    -0.73
    ãĤ´ãĥ³
    -0.72
    regon
    -0.69
    RAW
    -0.69
    enture
    -0.68
    ĺħ
    -0.67
    eatures
    -0.64
    ¢
    -0.64
    POSITIVE LOGITS
     per
    0.87
     needed
    0.82
     required
    0.79
     apiece
    0.77
     exceeds
    0.77
     varies
    0.76
     depends
    0.76
     allocated
    0.72
    verage
    0.72
     devoted
    0.71
    Activations Density 0.353%

    No Known Activations