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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. 9-RES-JB
    11. 2563
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    Explanations

    phrases indicating fortune or misfortune

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate luck or fortune

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ONSORED
    -0.74
    estyles
    -0.73
    urat
    -0.71
    Ú
    -0.68
    hess
    -0.67
    endiary
    -0.65
    rogens
    -0.64
    Interstitial
    -0.64
    ocative
    -0.64
     favorably
    -0.63
    POSITIVE LOGITS
     anyone
    0.99
     readers
    0.97
     taxpayers
    0.90
     us
    0.89
     anybody
    0.88
     survivors
    0.88
     mortals
    0.87
     consumers
    0.82
     those
    0.82
     fans
    0.82
    Activations Density 0.181%

    No Known Activations