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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. 15136
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    Explanations

    technical terms related to data processing or programming

    oai_token-act-pair · gpt-3.5-turbo

    references to numerical data and special characters in textual 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
    \\\\\\\\
    -0.91
    ĸļ
    -0.78
    byss
    -0.75
    ĪĴ
    -0.67
     Bake
    -0.66
     Belg
    -0.66
     Beir
    -0.65
    Hell
    -0.64
    assic
    -0.63
    Nob
    -0.62
    POSITIVE LOGITS
     Continuous
    0.63
    owship
    0.57
     hooks
    0.56
     Peninsula
    0.56
     reluctant
    0.55
     Comprehensive
    0.54
     regrets
    0.54
     misunderstand
    0.54
     victimized
    0.54
     rpm
    0.53
    Activations Density 0.233%

    No Known Activations