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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. 7358
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    INDEX
    Explanations

    mentions of import-related activities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the concept of importation and trade

    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
    creen
    -0.80
    hap
    -0.73
    yll
    -0.69
    kat
    -0.67
    peak
    -0.66
    cale
    -0.66
    holes
    -0.66
     Hilbert
    -0.65
    retch
    -0.65
    pool
    -0.64
    POSITIVE LOGITS
    uning
    0.94
    uned
    0.90
    antly
    0.83
    export
    0.81
    unity
    0.81
    urers
    0.80
    æĸ¹
    0.79
    ivity
    0.78
    Import
    0.78
    ugal
    0.77
    Activations Density 0.022%

    No Known Activations