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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. 6435
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    Explanations

    phrases related to spending time or money

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate the act of spending time or money

    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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    No Comments

    Negative Logits
     Celt
    -0.60
     Foley
    -0.59
     Ascend
    -0.59
     compr
    -0.59
    à¼
    -0.58
     Blaz
    -0.58
     Blitz
    -0.58
     Cosponsors
    -0.57
     Stella
    -0.56
    Fre
    -0.56
    POSITIVE LOGITS
    itures
    0.99
     lav
    0.88
     IPM
    0.87
    htaking
    0.81
    iture
    0.79
     eternity
    0.76
     winters
    0.75
    acion
    0.74
     beads
    0.72
     money
    0.71
    Activations Density 0.039%

    No Known Activations