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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. 9-RES-JB
    11. 14858
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    INDEX
    Explanations

    references to electronic devices or technical terms related to electronics

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "electronic" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     bott
    -0.69
    ========
    -0.66
    hao
    -0.62
    iday
    -0.61
     Leth
    -0.61
     throats
    -0.60
     havoc
    -0.59
     Ranch
    -0.59
     Airways
    -0.58
     Bark
    -0.58
    POSITIVE LOGITS
    ron
    1.36
    ronic
    1.30
    rification
    1.29
    roc
    1.27
    rics
    1.24
    rons
    1.22
    rified
    1.22
    rical
    1.21
    RON
    1.20
    rom
    1.15
    Activations Density 0.048%

    No Known Activations