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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. 4-RES-JB
    11. 11253
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    Explanations

    proper nouns related to names or titles

    oai_token-act-pair · gpt-3.5-turbo

    references to symbols or logos associated with entities or organizations

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

    No Comments

    Negative Logits
     Ivy
    -0.71
    rees
    -0.70
     Ces
    -0.66
     Diesel
    -0.65
     Holmes
    -0.65
     Xie
    -0.62
     IQ
    -0.61
     Underground
    -0.61
     Gerr
    -0.61
     Drivers
    -0.60
    POSITIVE LOGITS
    ufact
    1.09
    atic
    0.91
    uilt
    0.90
    atically
    0.86
    uchin
    0.81
    rontal
    0.81
    phasis
    0.79
    ilitating
    0.79
    ichael
    0.79
    swer
    0.78
    Activations Density 0.040%

    No Known Activations