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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. 2172
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    phrases related to various aspects of daily life

    oai_token-act-pair · gpt-3.5-turbo

    references to aspects of daily life

    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
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    Negative Logits
    AMI
    -0.80
    ĸļ士
    -0.78
    ovi
    -0.77
    CAST
    -0.77
    enic
    -0.72
    Null
    -0.69
    edar
    -0.68
     teasp
    -0.68
    aceous
    -0.66
    ificent
    -0.66
    POSITIVE LOGITS
    guards
    0.86
     expectancy
    0.85
    iences
    0.78
     habits
    0.74
    idays
    0.72
     pursuits
    0.70
     abroad
    0.69
     indoors
    0.69
    liness
    0.69
     affairs
    0.69
    Activations Density 0.079%

    No Known Activations