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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 19058
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    Explanations

    phrases related to pricing and cost

    oai_token-act-pair · gpt-3.5-turbo

    references to pricing and affordability

    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
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    No Comments

    Negative Logits
     overfl
    -0.73
     stret
    -0.72
    employment
    -0.66
    icles
    -0.63
    idan
    -0.63
     contag
    -0.62
    ardy
    -0.62
    insk
    -0.62
    à¼
    -0.61
     Chamber
    -0.60
    POSITIVE LOGITS
     ($
    1.21
    $$
    1.18
    $$$$
    1.08
    USD
    1.07
     (£
    1.05
    -$
    1.03
     ($)
    0.99
     cheaper
    0.98
     (~
    0.98
    /$
    0.97
    Activations Density 0.175%

    No Known Activations