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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. 9318
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    Explanations

    words related to emotions such as excitement, uncertainty, pain, isolation, despair, and dismay

    oai_token-act-pair · gpt-3.5-turbo

    themes related to emotional states and uncertainty

    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
    REE
    -0.63
     Directions
    -0.61
    asketball
    -0.59
    umbn
    -0.59
     Values
    -0.58
    dylib
    -0.57
    ocally
    -0.57
    Interstitial
    -0.56
    Performance
    -0.56
     Monetary
    -0.55
    POSITIVE LOGITS
    iest
    1.32
    iness
    0.93
     inherent
    0.88
     quot
    0.88
     afforded
    0.86
     surrounding
    0.82
    antry
    0.81
     emanating
    0.81
    staking
    0.80
    ourge
    0.79
    Activations Density 0.322%

    No Known Activations