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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. 9320
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    Explanations

    verbs related to strategic changes or adaptations in different contexts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to pivotal changes or adjustments

    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
    CLA
    -0.80
    Interstitial
    -0.70
    TPS
    -0.66
    à¦
    -0.66
    MET
    -0.64
    WAY
    -0.64
    displayText
    -0.64
    UFF
    -0.64
    ITNESS
    -0.63
    ivan
    -0.62
    POSITIVE LOGITS
     pivot
    1.26
     piv
    1.09
    ivot
    0.96
    oted
    0.91
    olicy
    0.88
    olate
    0.86
    oting
    0.84
     toe
    0.82
    olitics
    0.78
     stances
    0.75
    Activations Density 0.008%

    No Known Activations