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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. 8-RES-JB
    11. 23801
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    Explanations

    specific phrases related to software development or coding, such as functions, code lines, or programming concepts

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating nomination or categorization of items and their qualities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Vaugh
    -0.74
    enegger
    -0.73
    oppable
    -0.71
     Argon
    -0.64
     Seym
    -0.63
    erenn
    -0.63
     Nieto
    -0.61
    cffff
    -0.60
    avorite
    -0.60
    iterranean
    -0.59
    POSITIVE LOGITS
    malink
    0.71
     english
    0.66
     thumbnail
    0.57
    CLOSE
    0.55
    join
    0.54
     interval
    0.53
     cage
    0.53
    json
    0.53
     cube
    0.52
    hs
    0.51
    Activations Density 0.509%

    No Known Activations