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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. 1-RES-JB
    11. 7542
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    Explanations

    words related to monetization or making money

    oai_token-act-pair · gpt-3.5-turbo

    terms related to monetization and financial concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Carbuncle
    -0.81
     Temper
    -0.72
     Sands
    -0.71
    cond
    -0.70
     Sight
    -0.70
     Silence
    -0.69
    aways
    -0.69
     Heights
    -0.68
     Cosponsors
    -0.67
     Pu
    -0.66
    POSITIVE LOGITS
     monet
    1.41
    izable
    1.15
    ization
    1.03
     mathemat
    1.00
    arily
    0.99
    isation
    0.98
    isable
    0.98
    ised
    0.97
    ized
    0.95
    iless
    0.95
    Activations Density 0.010%

    No Known Activations