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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. 3-RES-JB
    11. 16206
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    Explanations

    instances of emotional descriptions related to crying or strong emotions

    oai_token-act-pair · gpt-3.5-turbo

    references to emotional distress or crying

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eers
    -0.74
    ENCY
    -0.72
     Prospect
    -0.70
    ancial
    -0.69
    Population
    -0.66
     Random
    -0.66
    yrinth
    -0.65
    avanaugh
    -0.65
    eport
    -0.64
     Senegal
    -0.64
    POSITIVE LOGITS
     tears
    1.03
    bows
    1.02
    stals
    0.91
    stained
    0.86
     Tears
    0.81
    fters
    0.80
    mith
    0.79
    bow
    0.79
     shed
    0.78
    stal
    0.77
    Activations Density 0.008%

    No Known Activations