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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. 5985
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    Explanations

    phrases related to inaction or ineffectiveness

    oai_token-act-pair · gpt-3.5-turbo

    expressions of inaction or the lack of effectiveness

    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
     Tru
    -0.85
     Sett
    -0.71
     Returning
    -0.68
     Phant
    -0.66
     Torn
    -0.63
    olded
    -0.63
     Arri
    -0.63
    ixed
    -0.62
    ateg
    -0.60
    ixture
    -0.60
    POSITIVE LOGITS
     offline
    0.73
    eret
    0.73
     grunt
    0.71
     differently
    0.71
     chores
    0.69
     injustice
    0.68
     impart
    0.68
     homework
    0.67
    :[
    0.67
     job
    0.66
    Activations Density 0.108%

    No Known Activations