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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. 9181
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    Explanations

    dollar amounts mentioned in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    monetary values and price-related information

    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
     Squirrel
    -0.78
     Tall
    -0.67
     Polk
    -0.66
     Sed
    -0.66
     Identification
    -0.65
     ------
    -0.65
     Bend
    -0.65
     (%)
    -0.64
     Mess
    -0.64
     htt
    -0.64
    POSITIVE LOGITS
    $$$$
    1.04
    10
    0.92
    interstitial
    0.90
    $$
    0.89
    ©¶æ¥µ
    0.89
    cair
    0.86
    credit
    0.86
    price
    0.83
    4
    0.83
    aband
    0.83
    Activations Density 0.055%

    No Known Activations