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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. 7-RES-JB
    11. 21750
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    phrases related to the maintenance or upkeep of certain entities or properties

    oai_token-act-pair · gpt-3.5-turbo

    words associated with maintenance and sustainable practices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    RN
    -0.78
    otom
    -0.70
    pps
    -0.70
    iday
    -0.67
     hormone
    -0.66
     Luxem
    -0.64
     Osw
    -0.63
    encer
    -0.63
    nesota
    -0.62
    TOR
    -0.61
    POSITIVE LOGITS
    ained
    1.02
    ainer
    0.92
    aint
    0.92
    aining
    0.91
    iful
    0.88
    aints
    0.87
    mosp
    0.87
    iffs
    0.86
    illery
    0.84
    ifully
    0.81
    Activations Density 0.051%

    No Known Activations