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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. 603
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    INDEX
    Explanations

    references to financial amounts or values

    oai_token-act-pair · gpt-3.5-turbo

    monetary amounts and financial figures in varying contexts

    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
     Tid
    -0.71
     Sidd
    -0.70
     Ital
    -0.70
     Pend
    -0.70
     Intent
    -0.67
     Noct
    -0.66
     Wend
    -0.66
     exerc
    -0.65
     Kend
    -0.65
     Purs
    -0.64
    POSITIVE LOGITS
    $$
    1.12
    300
    1.01
    500
    1.00
    350
    1.00
    100
    0.97
    200
    0.97
    250
    0.97
    150
    0.96
    700
    0.96
    600
    0.94
    Activations Density 0.062%

    No Known Activations